Adaptive Multi-Level Threshold for image
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Dear All;
I have an image with non-uniform illumination , i need to use adaptive threshold to compensate for that , then use multi level threshold to segment the image into Three regions, what is the best way to do that
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Image Analyst
2014-9-28
Try adapthisteq(). How you classify into 3 classes after that depends on how easy it is to find the thresholds. Write a script to flatten your image with adapthisteq() and then take the histogram and show it to us.
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Rizwan Chughtai
2017-12-13
@image analyst, my question is a little off topic but i need your help on this.
i have two images (as uploaded s1 & s2), one is having the boxes in x-axis direction and second is having the boxes in y-axis direction.
Question 1: how we can find that the boxes is in x-axis direction OR in y-axis direction?
Question 2:after finding the direction, extract/separate the boxes from that image?
(first see the imges 's1' & 's2')
Image Analyst
2017-12-13
Use regionprops() to get the bounding box and look at the width and height of it.
Anand
2014-9-29
Have you tried using multithresh after adapthisteq? multithresh does multi-level thresholding using Otsu's method.
thresh = multithresh(I,2);
segI = imquantize(I,thresh);
另请参阅
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