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2016-12-09 02:46:35 -0500 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 -0500 asked a question How to separate the hair out of this image using opencv

image description I want to separate out the hair from this image, any methods?

2016-12-07 03:29:10 -0500 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 -0500 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 -0500 received badge  Editor (source)
2016-12-07 01:24:50 -0500 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 -0500 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.