Separating a group of higher intensity pixels in an image

Question

Niranjan 2011-3-19

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/3526-separating-a-group-of-higher-intensity-pixels-in-an-image

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

https://picasaweb.google.com/lh/photo/qV1R3vavQQurPOPquG8WmpOzMXS1UfqXPDW9N1lFu0w?feat=directlink

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Sean de Wolski 2011-3-19

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/3526-separating-a-group-of-higher-intensity-pixels-in-an-image#answer_5146

在 MATLAB Online 中打开

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 个评论
显示 -1更早的评论隐藏 -1更早的评论

Niranjan 2011-3-20

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 :)

请先登录，再进行评论。

Answer 2

Sean de Wolski 2011-3-20

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/3526-separating-a-group-of-higher-intensity-pixels-in-an-image#answer_5191

在 MATLAB Online 中打开

Then use:

bwareaopen

to remove small blobs.

6 个评论
显示 4更早的评论隐藏 4更早的评论

Niranjan 2011-3-20

Can you tell me where the problem is ?

Sean de Wolski 2011-3-20

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....

请先登录，再进行评论。