In many computer vision applications image segmentation is fundamental task. While performing any enhancement technique, it must be performed on whole image. Before enhancement the objects must be identified by photo applications to cover the entire image. A new unsupervised color image segmentation algorithm is used which gives the information in LCH – luminous, color, hue value is obtained by detecting edges in color images. To obtain group of non-overlapping segmentation of the image with segment tagged, image is to be broken into equal segments and find perceptual objects. Thus to output a nonoverlapping segmentation of the image with segment tagged as a perceptual object, multi resolution merging is used which gives feature and information of color along with a region grown map.

Automatic Image Segmentation Using Feature Merging

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Automatic Image Segmentation Using Feature Merging