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

detected region in binary image

[vaishali]

columnwise processed used function:

[xmax,imax,xmin,imin] = extrema(BW(:,i));

obtain Result:

[],[],[],[]

[Randy Souza]

I have changed the question and description back to the original values.

Answer 1

[Image Analyst]

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.

[vaishali]

i have to measure distance between the two lines .i used active contour/level set to detect those lines,lines get detected but not able to find distance between those lines.above code results in intensity value.

[Image Analyst]

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]

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.