Semantic image classification by genetic algorithm using optimised fuzzy system based on Zernike moments

B. Somayeh Mousavi; Fazlollah Soleymani; Navid Razmjooy

doi:10.1007/s11760-012-0311-7

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Semantic image classification by genetic algorithm using optimised fuzzy system based on Zernike moments

B. Somayeh Mousavi Fazlollah Soleymani Navid Razmjooy

Year: 2012 Journal: Signal Image and Video Processing Vol: 8 (5)Pages: 831-842 Publisher: Springer Science+Business Media

DOI: 10.1007/s11760-012-0311-7

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Keywords:

Zernike polynomials Artificial intelligence Pattern recognition (psychology) Contextual image classification Computer science Color image RGB color model Classifier (UML) Invariant (physics) Fuzzy logic HSL and HSV Digital image Mathematics Computer vision Algorithm Image (mathematics) Image processing

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Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Semantic image classification by genetic algorithm using optimised fuzzy system based on Zernike moments

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