How to compute histograms of 10 bins and to use only its last 5 bins?

I need to compute histogram of 10 bins of an rgb image and use only its last 5 bins. Can anyone help me with the matlab code for this.

Answer 1

[Image Analyst]

What are you taking the histogram of? Of each color channel independently? Like:

% Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);
greenChannel = rgbImage(:, :, 2);
blueChannel = rgbImage(:, :, 3);

% Get histograms for each color channel:
[countsR, grayLevelsR] = imhist(redChannel, 10);
[countsG, grayLevelsG] = imhist(greenChannel, 10);
[countsB, grayLevelsB] = imhist(blueChannel, 10);

To use only the last 5 bins, you just use indexes from 6 to 10 in countsR, countsG, or countsB.

[Jyothis Jose]

Not separate channels but the whole image. Is this code correct.

H=hist(RgbImage,10) H=H(6:10,:) %%%% last five bins

[Image Analyst]

Why? That's basically meaningless.

[Jyothis Jose]

I will attach an image. I need to compute the histogram of this image and use the last 5 bins of its histogram

[Jyothis Jose]

Please anyone tell me how to compute the histogram of a rgb image??.

[Image Analyst]

I told you how in my answer. The method you proposed is basically the histogram of all channels lumped together with even weighting, which like I said is not used very much. Usually there is a weight applied so that the green channel is more, which you can do by applying the function rgb2gray to your image before taking the histogram of it. Of course it's the histogram of the gray scale version of the image.

Attached is a demo to take the RGB Histogram of images in a folder.