Finding the max and min x,y location of a mask

asked 2018-03-13 23:30:11 -0600

After performing watershed algorithm, it returned me a marker like this (not the rectangle). Right now, I want to find the max,min coordinate of the object boundary (not the rectangle). Is there any method that is capable of doing this without slowing down the system too much? The objective is to resize the rectangle dynamically to improve tracking. This is a real time object tracking + object segmentation so performance is a thing.

Any help is greatly appreciated !

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answered 2018-03-14 03:41:00 -0600

VxW
709 ●1 ●9

Hi,

you can calculate the extreme points of the contour.

leftmost = tuple(cnt[cnt[:,:,0].argmin()][0])
rightmost = tuple(cnt[cnt[:,:,0].argmax()][0])
topmost = tuple(cnt[cnt[:,:,1].argmin()][0])
bottommost = tuple(cnt[cnt[:,:,1].argmax()][0])

See OpenCV documentation