A Modified Approach for Image Segmentation in Information Bottleneck Method
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 7
Abstract
Image processing is a form of signal processing. One of the typical operations on image processing is image segmentation. In this paper, we use new image segmentation algorithms based on information bottleneck method. Here we are going to use three algorithms; first we introduce the split-and-merge algorithm, where an image is segmented into set of regions (input) and the intensity histogram bins (output) is obtained. The second algorithm is the histogram clustering algorithm, where the input variable represents the histogram bins and the output is given by the set of regions. Finally, the registration based segmentation for two registered multimodal images. Image registration is the process of overlaying images (two or more) of the same scene taken at different times, from different viewpoints, and/or by different sensors. The registration geometrically aligns two images (the reference and sensed images).
Authors and Affiliations
S. Dhanalakshmi , and Dr. T. Ravichandran
Keywords
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