Morphological algorithm design for binary images using genetic programming
作者： Marcos I. Quintana , Riccardo Poli , Ela Claridge
DOI: 10.1007/S10710-006-7012-3
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摘要: This paper presents a Genetic Programming (GP) approach to the design of Mathematical Morphology (MM) algorithms for binary images. The are constructed using logic operators and basic MM operators, i.e. erosion dilation, with variety structuring elements. GP is used evolve that convert image into another containing just particular feature interest. In study we have tested three fitness functions, training sets different numbers elements, images sizes, 7 features in two kinds applications. results obtained show it possible good GP.
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