Separating a group of higher intensity pixels in an image

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I have an binary image in which only a particular group of pixels are my area of interest. I want to separate these higher intensity group of pixels in a new figure of want to differentiate them with a different color. How can I do it? Please have a look at the link for clarification

Answers (3)

Sean de Wolski
Sean de Wolski on 19 Mar 2011
I would do an:
cirx = imfill(bw, 'holes');
on your circles. Then do a logical AND on this to get the areas inside the circles that are also white. Then maybe bwlabel to color them. I.e:
both = BW&cirx;
L = bwlabel(both);
imshow(label2rgb(L));
  1 Comment
Niranjan
Niranjan on 20 Mar 2011
No Sean de, I am sorry If I have mislead you. The circles were drawn by me for identification of the regions. The original image does not contain these circles. I just want to separate out the aggregated pixels in an image eg) the circled ones. Hope I didn't confuse you this time :)

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Sean de Wolski
Sean de Wolski on 20 Mar 2011
Then use:
bwareaopen
to remove small blobs.
  6 Comments
Sean de Wolski
Sean de Wolski on 20 Mar 2011
So you have all 3-dimensions of your rgb image binarized.
The easiest way to view it would just be to do:
imshow(uint8(bwAreaOpenBW)*255);
But I get the feeling that you're not understanding everything going on under the hood. Do you want a convert your rgb image to gray scale and then do the logical/morphological operations on them? Do you want to binarize all three dimensions (as you have) and then come up with some criteria based on that e.g. if true in two planes leave true, else no. Etc....

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pratibha rane
pratibha rane on 10 Apr 2013
Code: BW = imread('E:\ProjectCode\45.jpg');%Binary image BW2 = bwareaopen(BW, 24); figure,imshow(BW2)
Error: Error using ==> imageDisplayParseInputs>validateCData at 291 If input is logical (binary), it must be two-dimensional.
I want to highlight only object area with white color

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