Segmentation of Cotton Bolls by Efficient Feature Selection Using Conventional Fuzzy C-Means Algorithm with Perception of Color

Ad hoc method for segmentation of mature or nearly mature cotton bolls is proposed based on proper feature vector selection and efficient application of Fuzzy c-means (FCM) on images. Perception of color is used as fundamental criteria for segmentation. The results obtained are compared with conventional FCM and supremacy of the proposed work is presented. Since the technique is ad hoc, it will work only for the said purpose in the natural setting of cotton fields. Any improper acquisition of images of cotton bolls, like intense illumination or deep shadows (which is of course absent in natural settings) will produce improper results.

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