ColorMaps in OpenCV

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

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 ,   cv::COLORMAP_TURBO = 20 ,   cv::COLORMAP_DEEPGREEN = 21 }
	GNU Octave/MATLAB equivalent colormaps. More...

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

Enumeration Type Documentation

ColormapTypes

enum cv::ColormapTypes

#include <opencv2/imgproc.hpp>

GNU Octave/MATLAB equivalent colormaps.

Enumerator
COLORMAP_AUTUMN  Python: cv.COLORMAP_AUTUMN
COLORMAP_BONE  Python: cv.COLORMAP_BONE
COLORMAP_JET  Python: cv.COLORMAP_JET
COLORMAP_WINTER  Python: cv.COLORMAP_WINTER
COLORMAP_RAINBOW  Python: cv.COLORMAP_RAINBOW
COLORMAP_OCEAN  Python: cv.COLORMAP_OCEAN
COLORMAP_SUMMER  Python: cv.COLORMAP_SUMMER
COLORMAP_SPRING  Python: cv.COLORMAP_SPRING
COLORMAP_COOL  Python: cv.COLORMAP_COOL
COLORMAP_HSV  Python: cv.COLORMAP_HSV
COLORMAP_PINK  Python: cv.COLORMAP_PINK
COLORMAP_HOT  Python: cv.COLORMAP_HOT
COLORMAP_PARULA  Python: cv.COLORMAP_PARULA
COLORMAP_MAGMA  Python: cv.COLORMAP_MAGMA
COLORMAP_INFERNO  Python: cv.COLORMAP_INFERNO
COLORMAP_PLASMA  Python: cv.COLORMAP_PLASMA
COLORMAP_VIRIDIS  Python: cv.COLORMAP_VIRIDIS
COLORMAP_CIVIDIS  Python: cv.COLORMAP_CIVIDIS
COLORMAP_TWILIGHT  Python: cv.COLORMAP_TWILIGHT
COLORMAP_TWILIGHT_SHIFTED  Python: cv.COLORMAP_TWILIGHT_SHIFTED
COLORMAP_TURBO  Python: cv.COLORMAP_TURBO
COLORMAP_DEEPGREEN  Python: cv.COLORMAP_DEEPGREEN

Function Documentation

applyColorMap() [1/2]

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

Python:
	cv.applyColorMap(	src, colormap[, dst]	) ->	dst
	cv.applyColorMap(	src, userColor[, dst]	) ->	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. If CV_8UC3, then the CV_8UC1 image is generated internally using cv::COLOR_BGR2GRAY.
dst	The result is the colormapped source image of the same number of channels as userColor. Note: Mat::create is called on dst.
userColor	The colormap to apply of type CV_8UC1 or CV_8UC3 and size 256

applyColorMap() [2/2]

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

Python:
	cv.applyColorMap(	src, colormap[, dst]	) ->	dst
	cv.applyColorMap(	src, userColor[, dst]	) ->	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. If CV_8UC3, then the CV_8UC1 image is generated internally using cv::COLOR_BGR2GRAY.
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.