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
Risposte (3)
Image Analyst
il 28 Set 2014
0 voti
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.
5 Commenti
mustafa alnasser
il 29 Set 2014
Image Analyst
il 29 Set 2014
I didn't say anything about adaptive threshold, just adaptive histogram equalization. But your idea might work. Give it a try.
Rizwan Chughtai
il 13 Dic 2017
@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?
Rizwan Chughtai
il 13 Dic 2017
@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
il 13 Dic 2017
Use regionprops() to get the bounding box and look at the width and height of it.
Anand
il 29 Set 2014
Have you tried using multithresh after adapthisteq? multithresh does multi-level thresholding using Otsu's method.
thresh = multithresh(I,2);
segI = imquantize(I,thresh);
1 Commento
mustafa alnasser
il 5 Ott 2014
mustafa alnasser
il 29 Set 2014
0 voti
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