A genetic algorithm for the detection of 2D geometric primitives in images
作者： E. Lutton , P. Martinez
关键词:
摘要: We investigate the use of genetic algorithms (GAs) for image primitives extraction (such as segments, circles, ellipses or quadrilaterals). This approach completes well-known Hough transform, in sense that GAs are efficient when becomes too expensive memory, i.e. we search complex having more than 3 4 parameters. A GA is a stochastic technique, relatively slow, but which provides with an tool to high dimensional space. The philosophy method very similar optimum parameter However, will see implementation different.
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