2-D edge detection using cost minimization/ snakes.

Input: Medical and/or other images

Operation: Compute gradient image. Define a transform, for example polar, a cost function, for example circumference and gradient. Minimize path in transformed data by cost minimization. Alternative, use a snake for example using Greedy algorithm. The object is to find an algorithm to link the points identified on a gradient map to give continuous enclosing contours.

Output: Image with contour.

 

 

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