RGB Color Histogram Feature based Image Classification: An Application of Rough Reasoning

作者: Shailendra Singh

DOI: 10.1007/978-81-8489-203-1_8

关键词:

摘要: In this paper, we have proposed a novel rough set based image classification method which uses RGB color histogram as features to classify images of different themes. We used the concept discernibility analyze values and finding optimum intervals discern shown how for training can be construct representative sieve new images. also membership formulation using sieve. The outlines system has been implemented presented along with some results on

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