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Image Segmentation Methods based on Similarity

Title
Image Segmentation Methods based on Similarity
Authors
김민수
Issue Date
2005
Department/Major
대학원 수학과
Keywords
Image segmentationThresholdingRegion growingRegion splitting and merging
Publisher
이화여자대학교 대학원
Degree
Master
Advisors
이준엽
Abstract
Image segmentation generally is a key step in image analysis. In this paper, we will study image segmentation founded on similarity. The principal approaches in the similarity are based on thresholding and region growing by pixel aggregation and by splitting and merging. We understand some basic concepts of various methods and overview how each method is accomplished.
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일반대학원 > 수학과 > Theses_Master
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