Non-unique solutions for a convex problem in image segmentation

What is it about?

Despite the fact that convexity provides efficiency in finding solutions, the absence of strictness indeed gives rise to non-unique solutions. In image segmentation, this brings about ambiguity in determining the final number of segments.

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Why is it important?

This raises a philosophical question of how to determine the most logical number of image segments.