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A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis
2016
Applied Soft Computing
Deformable models are segmentation techniques that adapt a curve with the goal of maximizing its overlap with the actual contour of an object of interest within an image. Such a process requires that an optimization framework be defined whose most critical issues include: choosing an optimization method which exhibits robustness with respect to noisy and highly-multimodal search spaces; selecting the optimization and segmentation algorithms' parameters; choosing the representation for encoding
doi:10.1016/j.asoc.2016.03.004
fatcat:3mgmo7vuurd4tnijod5a5kwn7m