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2016-12-10 05:46:09 -0600	received badge	● Enthusiast
2016-12-09 02:46:35 -0600	commented question	How to separate the hair out of this image using opencv Thanks, That is exactly what I am looking for, I started doing it on my own and removed the face but cannot get a smooth cut and remove the background as well, so a code would have helped.
2016-12-08 02:28:37 -0600	asked a question	How to separate the hair out of this image using opencv I want to separate out the hair from this image, any methods?
2016-12-07 03:29:10 -0600	commented question	How to improve the image color and bightness quality using opencv How to detect the face region using opencv as in a general image we do not have a clar cut demarkation and if we try to distinguish the face using colors there is an error because of the bad illumination which makes it difficult to detect the face region exactly
2016-12-07 02:44:11 -0600	commented question	How to improve the image color and bightness quality using opencv So I am stuck in the face detection part, how to decide if for an image will have such areas of dim illumination and then detecting the areas.
2016-12-07 02:43:55 -0600	received badge	● Editor (source)
2016-12-07 01:24:50 -0600	asked a question	How to improve the image color and bightness quality using opencv Here is a link of what I want to implement using opencv, the human detection part is the hardest to replicate. http://www.howtogeek.com/69929/how-to... Basically I want to detect the part of the face that is not illuminated well automatically which is done using manual interfacing and then apply histogram equalization to the image. So I am stuck in the face detection part, how to decide if for an image we have such areas of dim illumination and then detecting the areas. For eg. the image in the above link or http://www.adorama.com/alc/alc_images...
2016-12-05 01:25:47 -0600	asked a question	How to remove bad lighting conditions or shadow effects in images using opencv for processing face images I am trying to find as solution for making the image better by removing the bad lighting effects present in photos.