How do I calculate the mean, maximum, minimum and std of the detected region of an image?

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vaishali el 7 de Sept. de 2013
detected region in binary image
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vaishali el 7 de Sept. de 2013
Editada: Walter Roberson el 11 de Sept. de 2013
columnwise processed used function:
[xmax,imax,xmin,imin] = extrema(BW(:,i));
obtain Result:
[],[],[],[]
Randy Souza el 24 de Sept. de 2013
I have changed the question and description back to the original values.

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Image Analyst el 7 de Sept. de 2013
Assuming img is your gray scale image, and BW is a binary image specifying the "detected region":
meanValue = mean(img(BW));
minValue = min(img(BW));
maxValue = max(img(BW));
stdDev = std(img(BW));
Those values refer to the values in your gray scale image, not the binary image.
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Image Analyst el 8 de Sept. de 2013
Editada: Image Analyst el 8 de Sept. de 2013
My answer is very confusing now because you removed the edited the original subject and body so that it's now a totally different question. I'd recommend not doing that again. It would have been better to just add a followup question here or start a totally new discussion.
You're not using active contours and I don't even know what your loop is now trying to do. Are you trying to find the first and last place on each line where the binary image is true (1)? Or the distance between them?
Image Analyst el 8 de Sept. de 2013
That didn't answer my questions. I just sort of asked one of me. Do you still need help? If so, please state more clearly what you're after.

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