Fuzzy Homogeniety Based Color Image Segmentation
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Abstract
Any entity can be subdivided into its constituent parts and vice versa (in some cases).Same is the case with digital images. Subdivision of an image into constituent regions or objects is SEGMENTATION. Image segmentation is important area in the field of image processing and computer vision. It is the first step in image analysis and pattern recognition and has wide applications such as in medical imaging, industrial automation and satellite imagery. Most of the work in image processing was done around gray images. But color provides more information than the gray tones. Various techniques have been proposed for color image segmentation based on different parameters. This paper aims at reviewing the existing color image segmentation techniques and proposes a new technique based on homogeneity principle. Segmentation of color image is based on two primary parameters: color space used and segmentation criteria: similarity or discontinuity. This paper aims at RGB images with segmentation criteria being homogeneity of pixels with its neighbouring pixels.
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Keywords: segmentation, color space, pixels, homogeneity, histogram, homogram
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