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WO2018153264A1 - Procédé et appareil de traitement d'image - Google Patents

Procédé et appareil de traitement d'image Download PDF

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Publication number
WO2018153264A1
WO2018153264A1 PCT/CN2018/075676 CN2018075676W WO2018153264A1 WO 2018153264 A1 WO2018153264 A1 WO 2018153264A1 CN 2018075676 W CN2018075676 W CN 2018075676W WO 2018153264 A1 WO2018153264 A1 WO 2018153264A1
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WIPO (PCT)
Prior art keywords
image
stroke
pixel
texture
determining
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Application number
PCT/CN2018/075676
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English (en)
Chinese (zh)
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WO2018153264A9 (fr
Inventor
雷宇
金宇林
伏英娜
Original Assignee
迈吉客科技（北京）有限公司
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Publication of WO2018153264A1 publication Critical patent/WO2018153264A1/fr
Publication of WO2018153264A9 publication Critical patent/WO2018153264A9/fr

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image

Definitions

  • the present invention relates to the field of image processing technologies, and in particular, to a method and an apparatus for image processing.
  • the stylization of the pencil drawing of the picture is an important direction of non-realistic drawing.
  • the purpose is to process the pictures in the real world and get a pencil drawing effect similar to artificial hand-painting.
  • a pencil drawing style picture of an original picture is mainly generated by an edge extraction method. Specifically, edge extraction is performed on the original image, and the image edge of the original image is output as a result.
  • the pencil drawing style picture obtained in the prior art lacks the brush stroke texture of the pencil drawing, and cannot reflect the characteristics of the original picture, such as light and dark contrast, and the pencil drawing effect is poor.
  • the embodiment of the invention provides a method and a device for image processing, which can improve the pencil drawing effect of a pencil drawing style picture.
  • an embodiment of the present invention provides a method for image processing, including: presetting at least one stroke texture;
  • the method further includes: presetting a correspondence between the gray level and the stroke texture;
  • the determining the stroke texture corresponding to each of the at least one image region comprises:
  • the determining the stroke texture corresponding to each of the at least one image region comprises:
  • the determining a stroke direction of the pixel in the contour image includes:
  • the first convolution result of the current pixel is convoluted by a predetermined number of directions, and a second convolution result of each direction of the current pixel in the preset number of directions is obtained.
  • a direction corresponding to a maximum value of the second convolution results of the preset number of directions is used as a stroke direction of the current pixel.
  • the method further includes:
  • the pencil drawing style image is colored according to the color information.
  • an apparatus for image processing including:
  • a saving unit for saving at least one stroke texture
  • a graying unit for performing grayscale processing on the original image to generate a grayscale image corresponding to the original image
  • An extracting unit configured to extract an edge of the grayscale image, and generate a contour image corresponding to the grayscale image
  • a dividing unit configured to divide the contour image into at least one image region according to a gray value of each pixel in the grayscale image
  • a determining unit configured to determine a stroke texture corresponding to each image region in the at least one image region
  • a generating unit configured to fill the stroke texture corresponding to the image region into the corresponding image region, and generate an image of a pencil drawing style corresponding to the original image.
  • the apparatus further includes: a setting unit, configured to set a correspondence relationship between the gray level and the stroke texture;
  • the determining unit is configured to determine a gray level of the image region according to a gray value of each pixel in the image region, and determine the image according to the correspondence relationship and a gray level of the image region The stroke texture corresponding to the region.
  • the determining unit is configured to determine a stroke direction of each pixel in the contour image, and determine a stroke direction of the stroke texture corresponding to the image region according to a stroke direction of the pixel, according to the image region The stroke direction of the stroke of the texture determines the stroke texture corresponding to the image area.
  • the determining unit includes:
  • a convolution subunit configured to perform full-picture convolution on the grayscale image to obtain a first convolution result of each pixel
  • Determining a subunit configured to convolve a first number of directions of the current convolution result of the current pixel for each pixel, and obtain a second of each direction of the current pixel in the preset number of directions As a result of the convolution, a direction corresponding to a maximum value of the second convolution results of the preset number of directions is taken as a stroke direction of the current pixel.
  • the apparatus further includes: a coloring unit configured to acquire color information of the original image, and color the image of the pencil drawing style according to the color information.
  • an embodiment of the present invention provides a storage controller, including a processor and a memory.
  • the memory is configured to store an execution instruction of the method of image processing described above;
  • the processor is configured to execute the execution instruction stored by the memory.
  • the gray image of the original image is extracted, and the corresponding contour image is generated according to the gray image to form a basic outline of the last generated pencil drawing style image, and the contour image is divided according to the gray level of each pixel.
  • Each image area is filled with a corresponding stroke texture in the image area, so that the finally generated pencil-painted image is more full on the basis of the basic contour, closer to the real pencil drawing, and provides the pencil-style picture corresponding to the original image. Pencil drawing effect.
  • FIG. 1 is a flowchart of a method for image processing according to an embodiment of the present invention
  • FIG. 2 is a flowchart of another method for image processing according to an embodiment of the present invention.
  • FIG. 3 is a schematic diagram of an apparatus for image processing according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of another apparatus for image processing according to an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of still another apparatus for image processing according to an embodiment of the present invention.
  • FIG. 6 is a schematic diagram of still another apparatus for image processing according to an embodiment of the present invention.
  • an embodiment of the present invention provides a method for image processing, which may include the following steps:
  • Step 101 preset at least one stroke texture
  • Step 102 Perform grayscale processing on the original image to generate a grayscale image corresponding to the original image.
  • Step 103 Extract an edge of the grayscale image, and generate a contour image corresponding to the grayscale image.
  • Step 104 Dividing the contour image into at least one image region according to a gray value of each pixel in the grayscale image
  • Step 105 Determine a stroke texture corresponding to each of the image regions
  • Step 106 Fill the corresponding brush stroke texture corresponding to each of the image regions into the corresponding image region, and generate an image of a pencil drawing style corresponding to the original image.
  • the gray image of the original image is extracted, and the corresponding contour image is generated according to the gray image to form a basic outline of the last generated pencil drawing style image, and the contour image is divided according to the gray level of each pixel.
  • Each image area is filled with a corresponding stroke texture in the image area, so that the finally generated pencil-painted image is more full on the basis of the basic contour, closer to the real pencil drawing, and provides the pencil-style picture corresponding to the original image. Pencil drawing effect.
  • the method further includes: presetting a correspondence between the gray level and the brush texture in order to further improve the pencil drawing effect of the pencil drawing style image corresponding to the original image;
  • Determining a stroke texture corresponding to each of the image regions including:
  • each stroke texture may be preset according to the line density.
  • the line density of the first stroke texture is within a preset first range
  • the line density of the second stroke texture is at a preset second.
  • the line density of the third stroke texture is within a preset third range.
  • the image region may be divided into gradation levels according to the gradation value of each pixel in the image region.
  • the gray value range corresponding to the gray level 1 is [0, 70]
  • the gray value range corresponding to the gray level 2 is (70, 150)
  • the gray value range corresponding to the gray level 3 is ( 150, 255], wherein, when determining the gradation value of the image region, the average value of the gradation values of the respective pixels of the image region may be used as the gradation value of the image region.
  • each pixel of the image region A The average value of the gray value is 90
  • the gray level of the image area A is gray level 2.
  • the stroke texture corresponding to the gray level 2 is the second stroke texture.
  • the gray value range is The smaller the maximum value, the higher the line density of the corresponding stroke texture.
  • the stroke texture of each image region is determined by the magnitude of the gray value of each image region, so that the darker region is filled with the stroke texture with a larger line density, so that the stroke texture of each image region is more
  • the style close to the real pencil drawing further enhances the pencil drawing effect of the pencil-style image corresponding to the original image.
  • the lines that can be set in each stroke texture have a certain stroke direction, for example: from bottom left to top right, from top left to bottom right, from top right to bottom left, from bottom right to top left.
  • the starting end color of the line is deeper than the end point.
  • the stroke direction is from the bottom left to the upper right line, the lower left color is darker, and the upper right color is lighter.
  • the determining the stroke texture corresponding to each of the image regions comprises:
  • a stroke texture corresponding to each of the image regions is determined according to a stroke direction of a stroke texture corresponding to each of the image regions.
  • the stroke direction of the stroke texture corresponding to each image region when determining the stroke direction of the stroke texture corresponding to each image region, it may be determined according to the number of pixels corresponding to each stroke direction in the current image region, specifically, the stroke with the largest number of corresponding pixels
  • the direction is the stroke direction of the current image area.
  • the stroke direction of 10 pixels is the stroke direction 1
  • the stroke direction of 20 pixels is the stroke direction 2
  • the stroke direction of 300 pixels is the stroke direction 3
  • the target stroke texture with the same stroke direction of the stroke texture corresponding to the current image region may be found from the preset at least one stroke texture, and the target stroke texture is As the stroke texture corresponding to the current image area.
  • the stroke direction of each pixel in the image area is embodied by the filled stroke texture, so that the pencil drawing effect of the generated pencil drawing style image is better.
  • the determining a stroke direction of each of the pixels in the contour image comprises: performing a full-image convolution on the grayscale image to obtain a first convolution result of each pixel;
  • the first convolution result of the current pixel is convoluted by a predetermined number of directions, and a second convolution result of each direction of the current pixel in the preset number of directions is obtained.
  • a direction corresponding to a maximum value of the second convolution results of the preset number of directions is used as a stroke direction of the current pixel.
  • each stroke texture carries information of a stroke direction, that is, a line in each stroke texture has a certain direction, for example, the stroke direction of the stroke texture 1 is from the lower left to the upper right.
  • the gray image of the image to be processed is subjected to full-image convolution to obtain a light-dark relationship between each pixel.
  • the mean direction of the stroke direction can also be hashed to ensure that the image does not change repeatedly.
  • the stroke direction of the pixel A when determining the stroke direction of the pixel A, it can be realized by setting three stroke textures in advance, wherein the stroke direction of the stroke texture 1 is the stroke direction 1, and the stroke direction of the stroke texture 2 For the stroke direction 2, the stroke direction of the stroke texture 3 is the stroke direction 3. Determining a second convolution result 1 of pixel A in direction 1, determining a second convolution result 2 of pixel A in direction 2, determining a second convolution result 3 of pixel A in direction 3, if these three responses Among the values, the second convolution result 2 is the largest, then the direction 2 corresponding to the second convolution result 2 is the stroke direction of the pixel A.
  • the method may further include: determining a convolution kernel of each pixel, determining a gradient value of each pixel in the contour image; for each pixel, according to a stroke direction of the current pixel, the current pixel.
  • the convolution kernel in the stroke direction and the gradient values of the surrounding pixels of the current pixel enhance the response of the current pixel in the corresponding stroke direction, and also reduce the noise caused by the gradient calculation.
  • the method further includes:
  • the pencil drawing style image is colored according to the color information.
  • the color information of the original image may be RGB information of each pixel in the original image.
  • an embodiment of the present invention provides a method for image processing, which may include the following steps:
  • Step 201 At least one stroke texture is preset, and each stroke texture is set with a corresponding stroke direction.
  • each stroke texture may include two features: line density and stroke direction.
  • Stroke textures can be implemented by texture mapping.
  • the stroke texture may include pure black, pure white, and slash, wherein the line density of the lines in the pure black stroke texture is greater than the line density of the lines in the stroke texture of the slash, and the stroke texture in the slash The line density of the lines is greater than the line density of the lines in the pure white brush texture.
  • each line density can be combined with each stroke direction to form a stroke texture
  • the line density of the stroke texture 1 is the line density A
  • the stroke direction is the direction A
  • the line density of the stroke texture 2 is the line density A
  • the stroke direction is the direction B
  • the line density of the stroke texture 3 is the line density A
  • the stroke direction is the direction C, and the like.
  • various line densities can be combined with various brush stroke directions to form a plurality of brush stroke textures to satisfy various original images.
  • one implementation manner is: six stroke textures in advance, wherein the line density of the stroke texture 1 is the line density A, the stroke direction is the direction A; the line density of the stroke texture 2 is the line density A, and the stroke direction is the direction. B; stroke density 3 line density is line density B, stroke direction is direction A; stroke texture 4 line density is line density B, stroke direction is direction B; stroke texture 5 line density is line density C, stroke direction is Direction A; the line density of the stroke texture 6 is the line density C, and the stroke direction is the direction B.
  • Step 202 Pre-set the correspondence between the gray level and the stroke texture.
  • the gray level of the image is reflected by the line density on the stroke texture.
  • the gray level can be divided by the range of gray values.
  • the tone curve of the photo is matched with the gray histogram of the pencil drawing to conform to the gray distribution rule of the pencil drawing, and then the gray value range of the image area is combined to be classified.
  • the gray level can be divided into three levels, namely gray level 1, gray level 2, and gray level 3.
  • the line density A corresponds to the gray level 1
  • the line density B corresponds to the gray level 2
  • the line density C corresponds to the gray level 3, that is, the stroke texture 1 corresponds to the gray level 1, the stroke texture 2 and the gray level
  • the stroke texture 3 corresponds to the gray level 2
  • the stroke texture 4 corresponds to the gray level 2
  • the stroke texture 5 corresponds to the gray level 3
  • the stroke texture 6 corresponds to the gray level 3.
  • Step 203 Perform grayscale processing on the original image to generate a grayscale image corresponding to the original image.
  • Step 204 Extract an edge of the grayscale image to generate a contour image corresponding to the grayscale image.
  • the contour image can be obtained by extracting the edge of the grayscale image by the Laplacian. Then, a reasonable threshold can be set by which the process of profile picking is achieved. The area with a relatively large area is determined by the threshold, and the area with a small area may not participate in the subsequent processing.
  • Step 205 Divide the contour image into at least one image region according to the gray value of each pixel in the grayscale image.
  • the region can be divided according to the severity of the change in the gray value, and the place where the gray value is abrupt is the edge of several regions.
  • Step 206 Determine the gray level of each image area according to the gray value of each pixel in each image area.
  • the average value of the gray values of the respective pixels in the current image region may be used as the gray value of the current image region, thereby determining which gray level the current image region belongs to.
  • the gradation level of the image area A is gradation level 1.
  • Step 207 Determine the stroke direction of each pixel in the contour image.
  • the first convolution result of the current pixel is convoluted by a predetermined number of directions, and a second convolution result of each direction of the current pixel in the preset number of directions is obtained.
  • a direction corresponding to a maximum value of the second convolution results of the preset number of directions is used as a stroke direction of the current pixel.
  • Step 208 Determine the stroke direction of the stroke texture corresponding to each image region according to the stroke direction of each pixel.
  • the brush point direction is the most pixel point of the direction A, and it can be determined that the stroke direction of the stroke texture corresponding to the image area A is the direction A.
  • direction A is from bottom left to top right.
  • Step 209 Determine a stroke texture corresponding to each image region according to the correspondence relationship, the gray level of each image region, and the stroke direction of the stroke texture corresponding to each of the image regions.
  • the stroke texture corresponding to each image region is determined by two parameters of gray scale and stroke direction.
  • the stroke texture corresponding to the image area A can be the stroke texture 1 and the stroke texture 2.
  • the direction A is determined. From the stroke texture 1 and the stroke texture 2, it can be determined that the stroke texture corresponding to the image area A is the stroke texture 1.
  • Step 210 Fill the corresponding touch image texture into the corresponding image area to generate an image of the pencil drawing style corresponding to the original image.
  • the stroke texture 1 corresponding to the image area A is filled into the image area A.
  • the other image areas are also filled with corresponding stroke textures, thereby obtaining a pencil-drawn style image corresponding to the original image.
  • the method may further include: acquiring color information of the original image; and coloring the image of the pencil drawing style corresponding to the original image according to the color information.
  • the color of each pixel in the original image may be acquired, and for each pixel on the pencil drawing style image corresponding to the original image, the current pixel is colored according to the color information of the pixel on the original image corresponding to the current pixel.
  • the pixel A on the original image corresponds to the pixel C on the pencil-drawn image corresponding to the original image, and the RGB of the pixel A on the original image is acquired, and the pixel C is colored according to the RGB of the pixel A.
  • the stroke texture is preset, and the preset stroke texture is filled into the corresponding image region to generate an image of the pencil drawing style corresponding to the original image, and the calculation amount is small, and the processing speed is fast.
  • each frame in the video is separately subjected to pencil drawing processing as an original image to obtain an image of a pencil drawing style corresponding to each frame.
  • the generated brush stroke style image can have the pencil stroke style and the highlight shadow effect of the generated pencil stroke style, which is closer to the real pencil drawing, and the pencil drawing effect is better.
  • the calculation amount can be greatly reduced, the required computing resources are less, and can be implemented on a mobile terminal such as a mobile phone, which can achieve real-time effects and can obtain a better pencil drawing. effect.
  • an embodiment of the present invention provides an apparatus for image processing.
  • the device embodiment may be implemented by software, or may be implemented by hardware or a combination of hardware and software.
  • FIG. 3 a hardware structure diagram of a device for processing an image processing apparatus according to an embodiment of the present invention, except for the processor, the memory, the network interface, and the non-
  • the device in which the device is located in the embodiment may also typically include other hardware, such as a forwarding chip responsible for processing the message, and the like.
  • the CPU of the device in which it is located reads the corresponding computer program instructions in the non-volatile memory into the memory.
  • An apparatus for image processing provided by this embodiment includes:
  • a saving unit 401 configured to save at least one stroke texture
  • the gradation unit 402 is configured to perform gradation processing on the original image to generate a grayscale image corresponding to the original image;
  • An extracting unit 403 configured to extract an edge of the grayscale image, and generate a contour image corresponding to the grayscale image
  • a dividing unit 404 configured to divide the contour image into at least one image region according to a gray value of each pixel in the grayscale image
  • a determining unit 405, configured to determine a stroke texture corresponding to each of the image regions
  • the generating unit 406 is configured to fill the stroke texture corresponding to each of the image regions into the corresponding image region, and generate an image of a pencil drawing style corresponding to the original image.
  • the apparatus further includes: a setting unit 501, configured to set a correspondence between the gray level and the stroke texture ;
  • the determining unit is configured to determine a gray level of each of the image regions according to a gray value of each of the pixels in each of the image regions, according to the correspondence relationship and each of the image regions Gray scale, determining the stroke texture corresponding to each of the image regions.
  • the determining unit is configured to determine a stroke direction of each of the pixels in the contour image, and determine a stroke corresponding to each of the image regions according to a stroke direction of each of the pixels
  • the stroke direction of the texture determines the stroke texture corresponding to each of the image regions according to the stroke direction of the stroke texture corresponding to each of the image regions.
  • the determining unit includes:
  • a convolution subunit configured to perform full-picture convolution on the grayscale image to obtain a first convolution result of each pixel
  • Determining a subunit configured to convolve a first number of directions of the current convolution result of the current pixel for each pixel, and obtain a second of each direction of the current pixel in the preset number of directions As a result of the convolution, a direction corresponding to a maximum value of the second convolution results of the preset number of directions is taken as a stroke direction of the current pixel.
  • the apparatus further includes: a coloring unit 601, configured to acquire color information of the original image, according to The color information colors the image of the pencil drawing style.
  • An apparatus for image processing provided by an embodiment of the present invention can be implemented on a mobile terminal such as a mobile phone.
  • the embodiment of the present invention provides a readable medium, including an execution instruction, when the processor of the storage controller executes the execution instruction, the storage controller performs an image processing according to any one of the embodiments of the present invention. Methods.
  • An embodiment of the present invention provides a storage controller, including: a processor, a memory, and a bus;
  • the memory is configured to store an execution instruction
  • the processor is connected to the memory through the bus, and when the storage controller is running, the processor executes the execution instruction stored in the memory to make
  • the storage controller performs a method of image processing according to any one of the embodiments of the present invention.
  • the gray image of the original image is extracted, and the corresponding contour image is generated according to the gray image to form a basic outline of the last generated pencil drawing style image, and the contour is formed according to the gray level of each pixel.
  • the image is divided into individual image regions, and the corresponding brush stroke texture is filled in the image region, so that the finally generated pencil-painted image is more full on the basis of the basic contour, and is closer to the real pencil drawing, and provides the pencil drawing style corresponding to the original image.
  • the pencil drawing effect of the picture is applied to the picture.
  • the stroke texture of each image region is determined by the magnitude of the gray value of each image region, so that the darker region is filled with the stroke texture with a larger line density, so that the strokes of the respective image regions are made.
  • the texture is closer to the style of the real pencil drawing, which further enhances the pencil drawing effect of the pencil-style image corresponding to the original image.
  • the stroke direction is set in the stroke texture, and the stroke texture is filled into the corresponding image area according to the stroke direction, so that the generated pencil style image is closer to the hand drawn pencil drawing, and the pencil drawing effect is better.
  • the stroke texture is preset, and the preset stroke texture is filled into the corresponding image region to generate a pencil-drawn image corresponding to the original image, and the calculation amount is small, and the processing speed is fast.
  • the generated pencil stroke style image can have the pencil stroke and the highlight shadow effect of the generated pencil stroke style, which is closer to the real pencil drawing, and the pencil drawing effect is better.
  • the calculation amount can be greatly reduced, the required computing resources are less, and can be implemented on a mobile terminal such as a mobile phone, which can achieve real-time effects and can achieve better results. Pencil drawing effect.
  • the disclosed systems, devices, and methods may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the image processing method and apparatus of the embodiment of the present invention avoids processing of a large number of redundant image signals, and simplifies the calculation amount of image processing. It can be widely applied to smart mobile terminal devices to improve the efficiency of human-computer interaction process.

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Abstract

La présente invention concerne un procédé et un appareil de traitement d'image. Le procédé consiste à: prédéfinir une texture de coup de pinceau; rendre grise une image originale pour générer une image à niveaux de gris correspondant à l'image originale; extraire un bord de l'image à niveaux de gris pour générer une image de contour correspondant à l'image à niveaux de gris; diviser l'image de contour en au moins une région d'image selon une valeur de niveau de gris de chaque pixel dans l'image à niveaux de gris; déterminer une texture de coup de pinceau correspondant à chaque région d'image; et remplir la région d'image correspondante avec la texture de coup de pinceau correspondant à chaque région d'image, afin de générer une image de style dessin au crayon correspondant à l'image originale. L'effet de dessin au crayon d'une image de style dessin au crayon peut être amélioré.
PCT/CN2018/075676 2017-02-27 2018-02-07 Procédé et appareil de traitement d'image WO2018153264A1 (fr)

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CN109087371B (zh) * 2018-07-16 2023-06-30 深圳市智能机器人研究院 一种控制机器人画像的方法及系统
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WO2020124603A1 (fr) * 2018-12-21 2020-06-25 深圳市柔宇科技有限公司 Procédé de dessin, appareil de dessin et dispositif électronique
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7567715B1 (en) * 2004-05-12 2009-07-28 The Regents Of The University Of California System and method for representing and encoding images
US20130121613A1 (en) * 2009-09-04 2013-05-16 Holger Winnemoeller Methods and Apparatus for Directional Texture Generation Using Image Warping
CN104915976A (zh) * 2015-06-03 2015-09-16 厦门美图之家科技有限公司 一种模拟铅笔素描的图像处理方法和系统
CN105374007A (zh) * 2015-12-02 2016-03-02 华侨大学 融合骨架笔画和纹理特征的铅笔画生成方法和装置
CN106023276A (zh) * 2016-05-13 2016-10-12 云南大学 基于图像处理的铅笔画绘制方法及装置
CN106846390A (zh) * 2017-02-27 2017-06-13 迈吉客科技（北京）有限公司 一种图像处理的方法及装置

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6657642B1 (en) * 1997-07-03 2003-12-02 International Business Machines Corporation User interactive display interfaces with means for interactive formation of combination display objects representative of combined interactive functions
CN102572219B (zh) * 2012-01-19 2014-12-24 西安联客信息技术有限公司 移动终端及其图像处理方法
CN103793930A (zh) * 2014-01-27 2014-05-14 汉王科技股份有限公司 铅笔画图像生成方法及装置

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7567715B1 (en) * 2004-05-12 2009-07-28 The Regents Of The University Of California System and method for representing and encoding images
US20130121613A1 (en) * 2009-09-04 2013-05-16 Holger Winnemoeller Methods and Apparatus for Directional Texture Generation Using Image Warping
CN104915976A (zh) * 2015-06-03 2015-09-16 厦门美图之家科技有限公司 一种模拟铅笔素描的图像处理方法和系统
CN105374007A (zh) * 2015-12-02 2016-03-02 华侨大学 融合骨架笔画和纹理特征的铅笔画生成方法和装置
CN106023276A (zh) * 2016-05-13 2016-10-12 云南大学 基于图像处理的铅笔画绘制方法及装置
CN106846390A (zh) * 2017-02-27 2017-06-13 迈吉客科技（北京）有限公司 一种图像处理的方法及装置

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