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• W2034771312 abstract "Purpose – The purpose of this paper is to describe a work that aims to solve contour detection problem using a planar deformable model and a swarm‐based optimization technique. Contour detection is an important task in image processing as it allows depicting boundaries of objects in an image. The proposed approach uses snakes as active contour model and adapts predator prey optimization (PPO) metaheuristic so that to define a new dynamic for evolving snakes in a way to reduce time complexity while providing good quality results.Design/methodology/approach – In the proposed approach, contour detection has been cast as an optimization problem requiring function minimization. PPO has been used to develop a search strategy to handle the optimization process. PPO is a population‐based method inspired by the phenomenon of predators attack and preys evasion. It has been proposed as an improvement of particle swarm optimization (PSO) where additional particles are introduced to repel the other particles into the ..." @default.
• W2034771312 created "2016-06-24" @default.
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• W2034771312 date "2009-06-05" @default.
• W2034771312 modified "2023-09-25" @default.
• W2034771312 title "Predator prey optimization for snake‐based contour detection" @default.
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• W2034771312 doi "https://doi.org/10.1108/17563780910959884" @default.
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