unsers texture feature extraction

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vetri L
vetri L on 4 Sep 2019
Dear All,
unsers texture feature extraction :
The sum and difference of two random variables with same variances are decorrelated and define the principal axes of their associated joint probability function. Therefore, sum and difference histograms are introduced as an alternative to the usual co-occurrence matrices used for texture analysis. Two maximum likelihood texture classifiers are presented depending on the type of object used for texture characterization (sum and difference histograms or some associated global measures). Experimental results indicate that sum and difference histograms used conjointly are nearly as powerful as cooccurrence matrices for texture discrimination. The advantage of the proposed texture analysis method over the conventional spatial gray level dependence method is the decrease in computation time and memory storage.
I am trying to extract the unsers texture feature for a fruits image. Can you share the example code for this one? unsers texture feature parameter is attached here. kindly check and tell me how to write the code
  2 Comments
KALYAN ACHARJYA
KALYAN ACHARJYA on 4 Sep 2019
Can you elaborate about "unsers texture feature"?
Also please do attach smaple image.
vetri L
vetri L on 5 Sep 2019
Dear Sir,
Thank you for your reply and very kind of you sir. As per your request i have attaced detailed document with this one.. kinldy check and do the needful

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Answers (1)

Constantino Carlos Reyes-Aldasoro
I would suggest that before using Unser's techniques (Where Unser is a person, Michael Unser http://bigwww.epfl.ch/unser/) try co-occurrence so that you understand more about textures. Then, you may assess if it is necessary to use a technique that is slightly faster and uses less memory.

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