Automatic Image Segmentation using Sobel Operator and k-Means Clustering: A Case Study in Volume Measurement System for Food Products
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In our case is input image converted from RGB color space to L*u*v* color space and L*, u* and v* values are features respectively attributes for fuzzy c-means clustering
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5 Fully automatic grayscale image segmentation based fuzzy C‑means with firefly mate algorithm AUTO‑FCM‑FMA AUTO-FCM-FMA is a fully automatic segmentation approach which uses the
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- Object in cluster 3 - The final segmented image is created and displayed Table 3 Bacterial leaf blight of Manu's input image using the proposed method Process Details - Input
