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A Study on the Performance Improvement of Image Segmentation by Selective Application of Structuring Element in MPEG-4  

이완범 (원광대학교 전자공학과)
김환용 (원광대학교 전자공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.5, 2004 , pp. 165-173 More about this Journal
Abstract
Since the conventional image segmentation methods using mathematical morphology tend to yield over-segmented results, they normally need postprocess which merges small regions to obtain larger ones. To solve this over-segmentation problem without postprocess had to increase size of structuring element used marker extraction. As size of structuring element is very large, edge of region segments incorrectly. Therefore, this paper selectively applies structuring element of mathematical morphology to improve performance of image segmentation and classifies input image into texture region, edge region and simple region using averaged local variance and image gradient. Proposed image segmentation method removes the cause for over-segmentation of image as selectively applies size of structuring element to each region. Simulation results show that proposed method correctly segment for pixel region of similar luminance value and more correctly search texture region and edge region than conventional methods.
Keywords
MPEG4; Image compression; Image segmentation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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