Application of Genetic Algorithm to Active Contour Model(Physics, Process, Instrument & Measurements)

概要

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An active contour model called Snakes was proposed to extract a border line of an object in an image. This method results in the minimization problem of the energy, which is defined on the contour curve. The authors obtained an excellent solution for this problem by applying a Genetic Algorithm (Define GA) which simulates the principle of a living thing's selection and evolution. This application is further implemented in the transputer parallel processing system to improve the processing speed. In this report, the method to apply GA to Snakes is described. The consideration is made on the parameters of GA to tune up its dynamic contour extraction ability. The comparison of the processing result by GA against those bythe various previously proposed methods is also described, and the advantage of GA is shown. This application of GA is installed in the parallel processing system composed of the transputers.
大阪大学の論文