Classification and categorization of banana fruit is an interesting application of image processing. Automation of banana fruit analysis based on morphological features will help banana industries for better quality analysis. Segmentation will play an important role in banana image analysis for accurate analysis and categorization. This paper proposes a new method for better segmentation and categorization of banana fruits. Features including Mean Square Error (MSE) and Similarity Measure (SSIM) have been calculated for various banana images. Result shows better accuracy of proposed algorithm compared to other segmentation methods.

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Banana Region based color gradient segmentation