IMAGE SEGMENTATION USING EFCM FOR BANANA STEM DISEASE IDENTIFICATION
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Abstract
Image Segmentation is the interaction by which an advanced image is divided
into different subgroups (of pixels) called Image Objects, which can diminish the intricacy of the
image, and accordingly examining the image gets less difficult. This paper portrays another
automatic image segmentation methodology for segmenting plants. This paper presents
straightforward methodology towards plant growth analysis Enhanced Fuzzy C- Means
clustering algorithm is utilized to segment the region of interest, morphological shape analysis is
applied to the Image Segmentation for Banana Plant. The strategy is highly promising nearby
accuracy agriculture when we have large area to monitor.
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