I hope that some great God can give me some advice. What I think is not enough is that there are too many for loops.
#MATLAB COLOR2GRAY HOW TO#
The above is how to use the line() function to draw histogram and how to process the image through histogram processing. %After each layer of processing, the parameter should be reinitialized to 0 %Get the RGB Value, and determine its value is equal to for g= 1: 3 %Get the length, width, and number of layers of the image (actually three, R,G,B Third floor) = size(I) Therefore, the principle of understanding, it is not difficult to achieve %Read picture The gray image only needs to process the gray value, which is the only difference between the two. The difference is that the R, G and B layers should be processed once, that is, three times. The histogram equalization processing of color image is the same as that of gray image. The color bar you show uses the PARULA color map. (2) Histogram equalization of color image There are commands in MATLAB to set the limits of the color bar, you can find those reading the documentation. %The original image is obtained by histogram reflection for i= 1:M %Get the gray value of each point and judge its value for k= 1: 256Įnd end end %Draw the image gray histogramĮnd %Cumulative distribution rounding,+0.5 It is equal to round, that is to round Color2Gray has been updated to version 2.0.
The converted pictures only render on the black (K) plate. %Do histogram equalization and create mapping area Color2Gray allows you to convert placed color photos (TIFF, JPEG) to grayscale without modifying the original color image. Each row in the array contains the red, green, and blue intensities for a specific color. If no figure exists, then the number of rows is equal to the default length of 256. So you can use 1/255255,0,0 to get the color of red to use as a color in MATLAB. %Do histogram equalization and set initial parameters Grayscale to RGB Conversion, We have already define the RGB color model and gray scale format in our tutorial of Image types. c gray c gray (m) Description example c gray returns the gray colormap as a three-column array with the same number of rows as the colormap for the current figure. Crimson, gray, and white are the foundation of the WSU color palette. %Get the length and width of the grayscale image = size(I) (1) Histogram equalization of color image to grayscale image: %Read picture This time, we have done two implementations respectively: histogram equalization of color images to grayscale images and histogram equalization of color images. Also, make right half of leftsideimage 0 intensity region.
Step 1: Make left half of rightsideimage 0 intensity image (black). We need to combine the two images such that both figures appear on them. OK, let's not say so much, but go straight to the theme. One image has the main figure on the left side and the other has one on the right side.
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