ImgB = uint8((255/31). The rgb2gray function converts RGB images to grayscale by eliminating the hue and saturation information while retaining the luminance. This will give you three color component matrices the same size as img: imgR = uint8((255/31).*bitshift(bitand(img, 63488), -11)) % Red component However, there are other models besides RGB for representing colors numerically. Next, you can use the function bitshift and multiplication by a scale factor to scale the red, green, and blue values to a range of 0 to 255, then convert them to an unsigned 8-bit integer using the function uint8. Answers Trial Software Product Updates Understanding Color Spaces and Color Space Conversion The Image Processing Toolbox software typically represents colors as red, green, and blue (RGB) numeric values. First, you can use the function bitand to extract the bits for the red, green, and blue components, whose positions in the 16-bit integer are illustrated here: The result is a 415-by-312-by-3 array of type double. imshow (X,cmap) Convert the indexed image to an RGB image. Let's assume you've done all that, and you now have an N-by-M matrix img of unsigned 16-bit integers. The colormap cmap is a 256-by-3 matrix of type double, therefore there are 256 colors in the indexed image. The example displays each color channel as a grayscale intensity image and as a color image. Since I don't know what format your text file is in, I can only suggest that you will probably need to use the function fscanf to read in all of your values (probably of type uint16), then you will likely have to reshape the values into an N-by-M image matrix using the function reshape. This example creates a simple RGB image and then separates the color channels. Rgbmap(.) sets the color map without creating an array in the workspace.You first have to read your data from the text file into a matrix in MATLAB. The rgbmap function presented here creates color maps using any number of these strings as inputs.Ĭmap = rgbmap('first color name','second color name')Ĭmap = rgbmap('first color name','second color name'.,'nth color name')Ĭmap = rgbmap('first color name','second color name') creates an RGB color map cmap from some first color to a second color.Ĭmap = rgbmap('first color name','second color name'.,'nth color name') creates a color map linearly scaled between any number of colors.Ĭmap = rgbmap(.,M) specifies the approximate number of levels |M| of the M x 3 output colormap. The label2rgb function picks colors from the entire range of the colormap. Many plotting functions have an input argument such as c or colorspecfor customizing the color. You can customize the colors if you need to. The default colors provide a clean and consistent look across the different plots you create. The label2rgb function determines the color to assign to each object based on the number of objects in the label matrix. MATLAB® creates plots using a default set of colors. The result is a database of the most commonly-used names for colors, the way they are perceived on computer monitors. RGB label2rgb (L) converts a label image, L into an RGB color image for the purpose of visualizing the labeled regions. The rgb function uses a database which was created by showing hundreds of thousands of viewers more than 900 of the most commonly-used colors on the internet, and getting users to use their own words to describe that color. This function requires the rgb function found here: Answers (1) Atsushi Ueno on at 13:45 Ran in: Theme I imread ('peppers.
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