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What is Ab Color and Fractal about?

This research presents a flower classification system that combines color and texture features to improve accuracy. The method utilizes L*a*b* color space for color extraction and Segmentation-based Fractal Texture Analysis (SFTA) for texture features, achieving a classification accuracy of 73.63% using a k-Nearest Neighbor (kNN) classifier. The study highlights the importance of combining features to address challenges in flower classification due to variations in color and texture.

Author

monikacr396

Language

EN