I have a RGB image which i converted into HSV color model. Then I have extracted the V- component. I draw simple histogram of this V-component. Now i wanted to divide this created histogram in such 8 part where each partition should have the same ent

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I have a RGB image which i converted into HSV color model. Then I have extracted the V- component. I draw simple histogram of this V-component. Now i wanted to divide this created histogram in such 8 part where each partition should have the same entropy. Or if not 8 then number of partition must be same.
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Im_possible_woman
Im_possible_woman 2018-4-15
Hello @sumit kumar, could you please share the codes of RGB image which is converted into HSV color model. Then have extracted the V- component? I really hope that you can help me to share the codes and respond me.

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Image Analyst
Image Analyst 2016-11-15
Compute the histogram. Then compute the entropy in each bin: sum(p*log(p)). Then compute the CDF of the entropy array using cumsum(). Then split it at the 1/8, 2/8, 3/8, etc. points to find out what gray levels give you the eight part splitting that you seek.
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sumit kumar
sumit kumar 2016-11-15
Thank you sir. One more thing by entropy array do you mean that when i am calculating entropy for each bin then each value must be stored in an array and that array is called entropy array.?????/
sumit kumar
sumit kumar 2016-11-16
can you elaborate. if i apply sum(p*log(p)) then i will get single entropy for entire image? Secondly how can i proceed to divide in 1/8 2/8 3/8...... please explain this a bit. Thank you

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Walter Roberson
Walter Roberson 2016-11-15
You could use quantile
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