| OpenCV 3.4.7 Open Source Computer Vision

Enumerations | Functions
ColorMaps in OpenCV
Image Processing

## Enumerations
enum | cv::ColormapTypes { cv::COLORMAP_AUTUMN = 0, cv::COLORMAP_BONE = 1, cv::COLORMAP_JET = 2, cv::COLORMAP_WINTER = 3, cv::COLORMAP_RAINBOW = 4, cv::COLORMAP_OCEAN = 5, cv::COLORMAP_SUMMER = 6, cv::COLORMAP_SPRING = 7, cv::COLORMAP_COOL = 8, cv::COLORMAP_HSV = 9, cv::COLORMAP_PINK = 10, cv::COLORMAP_HOT = 11, cv::COLORMAP_PARULA = 12, cv::COLORMAP_MAGMA = 13, cv::COLORMAP_INFERNO = 14, cv::COLORMAP_PLASMA = 15, cv::COLORMAP_VIRIDIS = 16, cv::COLORMAP_CIVIDIS = 17, cv::COLORMAP_TWILIGHT = 18, cv::COLORMAP_TWILIGHT_SHIFTED = 19 }
| GNU Octave/MATLAB equivalent colormaps. More...

## Functions
void | cv::applyColorMap (InputArray src, OutputArray dst, int colormap)
| Applies a GNU Octave/MATLAB equivalent colormap on a given image. More...
void | cv::applyColorMap (InputArray src, OutputArray dst, InputArray userColor)
| Applies a user colormap on a given image. More...

## Detailed Description

The human perception isn't built for observing fine changes in grayscale images. Human eyes are more sensitive to observing changes between colors, so you often need to recolor your grayscale images to get a clue about them. OpenCV now comes with various colormaps to enhance the visualization in your computer vision application.

In OpenCV you only need applyColorMap to apply a colormap on a given image. The following sample code reads the path to an image from command line, applies a Jet colormap on it and shows the result:

#include <opencv2/core.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
using namespace cv;
#include <iostream>
using namespace std;
int main(int argc, const char *argv[])
{
// We need an input image. (can be grayscale or color)
if (argc < 2)
{
cerr << "We need an image to process here. Please run: colorMap [path_to_image]" << endl;
return -1;
}
Mat img_in = imread(argv[1]);
if(img_in.empty())
{
cerr << "Sample image (" << argv[1] << ") is empty. Please adjust your path, so it points to a valid input image!" << endl;
return -1;
}
// Holds the colormap version of the image:
Mat img_color;
// Apply the colormap:
applyColorMap(img_in, img_color, COLORMAP_JET);
// Show the result:
imshow("colorMap", img_color);
waitKey(0);
return 0;
}

See also
  ColormapTypes

## Enumeration Type Documentation

## § ColormapTypes

enum cv::ColormapTypes

`#include <opencv2/imgproc.hpp>`

GNU Octave/MATLAB equivalent colormaps.

Enumerator
COLORMAP_AUTUMN Python: cv.COLORMAP_AUTUMN | autumn
COLORMAP_BONE Python: cv.COLORMAP_BONE | bone
COLORMAP_JET Python: cv.COLORMAP_JET | jet
COLORMAP_WINTER Python: cv.COLORMAP_WINTER | winter
COLORMAP_RAINBOW Python: cv.COLORMAP_RAINBOW | rainbow
COLORMAP_OCEAN Python: cv.COLORMAP_OCEAN | ocean
COLORMAP_SUMMER Python: cv.COLORMAP_SUMMER | summer
COLORMAP_SPRING Python: cv.COLORMAP_SPRING | spring
COLORMAP_COOL Python: cv.COLORMAP_COOL | cool
COLORMAP_HSV Python: cv.COLORMAP_HSV | HSV
COLORMAP_PINK Python: cv.COLORMAP_PINK | pink
COLORMAP_HOT Python: cv.COLORMAP_HOT | hot
COLORMAP_PARULA Python: cv.COLORMAP_PARULA | parula
COLORMAP_MAGMA Python: cv.COLORMAP_MAGMA | magma
COLORMAP_INFERNO Python: cv.COLORMAP_INFERNO | inferno
COLORMAP_PLASMA Python: cv.COLORMAP_PLASMA | plasma
COLORMAP_VIRIDIS Python: cv.COLORMAP_VIRIDIS | viridis
COLORMAP_CIVIDIS Python: cv.COLORMAP_CIVIDIS | cividis
COLORMAP_TWILIGHT Python: cv.COLORMAP_TWILIGHT | twilight
COLORMAP_TWILIGHT_SHIFTED Python: cv.COLORMAP_TWILIGHT_SHIFTED | twilight shifted

## Function Documentation

## § applyColorMap() [1/2]

void cv::applyColorMap | ( | InputArray | src,
|  | OutputArray | dst,
|  | int | colormap
| ) |  |

Python:
| dst | = | cv.applyColorMap( | src, colormap[, dst] | )
| dst | = | cv.applyColorMap( | src, userColor[, dst] | )

`#include <opencv2/imgproc.hpp>`

Applies a GNU Octave/MATLAB equivalent colormap on a given image.

Parameters

  src | The source image, grayscale or colored of type CV_8UC1 or CV_8UC3.
  dst | The result is the colormapped source image. Note: Mat::create is called on dst.
  colormap | The colormap to apply, see ColormapTypes

Examples:
  samples/cpp/falsecolor.cpp.

## § applyColorMap() [2/2]

void cv::applyColorMap | ( | InputArray | src,
|  | OutputArray | dst,
|  | InputArray | userColor
| ) |  |

Python:
| dst | = | cv.applyColorMap( | src, colormap[, dst] | )
| dst | = | cv.applyColorMap( | src, userColor[, dst] | )

`#include <opencv2/imgproc.hpp>`

Applies a user colormap on a given image.

Parameters

  src | The source image, grayscale or colored of type CV_8UC1 or CV_8UC3.
  dst | The result is the colormapped source image. Note: Mat::create is called on dst.
  userColor | The colormap to apply of type CV_8UC1 or CV_8UC3 and size 256