Hi Guanglei,the code is so nice on biological images.and fair on remote sensing images.have tried to test both methods on remote sensing images but results show otsu is better.
though i have used tested your code on several remote sensing images,I have failed to understand how the code operates.all is that your code segments the image into three classes using FCM clustering thresholding based on 3-class Fuzzy clustering,where by the threshold is obtained by averaging the maximum
in the class with the smallest center and the minimum in the class with the middle center. am i right or wrong about your method?.hope to hear from you.chao
Am currently working on flood detection where am supposed to segment the two images , classify them independently and then later obtain a change image.am woundering how i can use to this same method to segment my images and how i can calculate mean for each segment in the image
and also when i try to run this code on my landsat image,it gives this error
??? Index exceeds matrix dimensions.
Error in ==> srm at 66
Thank you for your reply.
The "Segmenting multiple Objects " is part of the paper of Lankton "Localizing Region Based Active Contours" is the part IV.
I do not know if it is implemented in Matlab.
Thank you again.
Thank you for the high grade.
I'm unfamiliar with the paper "Segmenting multiple Objects" by Shawn Lankton, and was not able to find it.
Any-hows, this GUI is proposed for Active contour algorithms evaluation. Thus a paper to be added must be:
- related to Active Conoturs
- implemented in Matlab
- Modified to fit GUI demands.
In additoin I must have the time to add it to this submission. Unfortunately I'm quiet busy those days, working on several submissions to Matlab Central File Exchange, and I'm afraid I will not have time to invest in this in the near future.
if the above conditions will be true, try emailing me, and I'll see what can be done.