Kindly anyway of you can post the an efficient technique to find region of interest in greay scaled images with code?

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Sheeraz
Sheeraz 2012-8-8
Hi Guys Actually I am working on image compression in medical images in which my first task is to find out the region of interest and then apply the lossless technique on that ROI and rest of the unimportant area will be lossy compress.In this regard I need your help could anyone tell me is there any easy but efficient way to find out the region of interest kindly post the method or code.second thing is that what do you think which is the best compression technique for lossy and lossless compression so I could apply on medical images

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Walter Roberson
Walter Roberson 2012-8-8
There is no general method for deciding the ROI of arbitrary images. Not even if you know they are medical images. ROI, Region of Interest, depends upon what the person is interested in at the time. A different person might be interested in something else about the images. For example, an X-Ray to check for broken ribs after a car accident might happen to find cancer in the body that just happens to be in the field of view of the X-Ray, in which case it would be a major medical mistake to throw away that data just because it was not expected to be of interest.
The "best" lossy compression technique for medical images is not to compress at all until it is proven safe to compress through blind studies. See http://www.mathworks.co.uk/matlabcentral/answers/32237#answer_40777

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