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ANFIS Based Color Image Segmentation for Extraction of Salient Features: A Design Approach

Image segmentation is very essential and critical to image processing and pattern recognition. In this paper, a technique for color image segmentation called 'Adaptive Neuro-Fuzzy Color Image Segmentation (ANFIS)' is proposed. Adaptive Neuro-Fuzzy system is used for automatic multilevel image segmentation. This system consists of multilayer perceptron (MLP) like network that performs color image segmentation using multilevel thresholding. Threshold values for detecting clusters are found automatically using Fuzzy C-means (FCM) clustering technique. Fuzzy entropy is used as a tool to decide the number of clusters. ANFIS uses saturation and intensity planes of HSV (hue, saturation, intensity) color space for segmentation. Neural network is employed to find the number of objects automatically from an image. This system does not require a priori assumptions whatsoever are made about the image (type, features, contents, stochastic model, etc.).