how can i set the pixel intensity values (I) that fall in the range, 200> I >30 to I = 200.

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dp sb 2015-7-17

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编辑： dp sb 2015-7-24

采纳的回答： Image Analyst

I am dealing with large images

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Image Analyst 2015-7-20

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Try adapthisteq(). Try it yourself first. It will get rid of the dark background and normalize all the writing. try different parameters until you get it correct. Come back with your code if you need help.

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dp sb 2015-7-23

编辑：dp sb 2015-7-23

It works Sir!

But here's the problem. When i go circularities < 5 (also upto < 50), i am not picking up any lines because they have circularities ranging from 50-200 (These ranges are just for the few sample images i looked into). In general i could say that there are few images with 2 or 3 lines detected and they have circularities like 60, 90, 160 etc. And the real blobs that i am looking for are polygon shapes (basically blocks and very very few circles). So the circularities for the blobs that i am looking for have ranges anything > 3 (Again i came to conclusion on these ranges just by seeing very few sample images)

So the big problem for me is that i am working on a very very large set of images and i can not come to a desired parameter to set up this condition. Is there another way that i could just eliminate all the lines and look into other blobs.

I think there's definitely a way out but i can't get there as i don't have much experience. I would greatly appreciate any help on this.

Thank You very much!

dp sb 2015-7-24

编辑：dp sb 2015-7-24

Here's two images.

The above binary image picked up line which i didnt want to but i could eliminate them by looking for circularities <5 until <50. this particular image has two lines with circularities 60 and 90.

But the problem comes here, have a look at this image,

This image has a small blob which i want my code to pick up coz it's blacked out and has information to read in it. this blob has circularity of 15. so when i try to go <5 i could eliminate lines but also am eliminating blobs like these which i dont want to. i could also go < 50 and which will not elimate a blob like this but the problem is this is a small blob and there are images with large blobs and circularities upto 200. i can't come with an optimum parameter which can give me desired results. Is there an other way with which i could eliminate lines and only look at blobs with shapes like blocks or small circles.

Plz help, Thank You.

Image Analyst 2015-7-24

You might try bwconvhull() on the binary image before calculating the area and perimeter. This will round out the blobs and make that bottom one have not so high a circularity.

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