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Conference Paper Non-contrast based edge descriptor for image segmentation
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Authors
Byung-Gyu Kim, Pyeong-Soo Mah, Dong-Jo Park, Jik-Han Jung, Ju-Seok Park
Issue Date
2004-08
Citation
International Conference on Pattern Recognition (ICPR) 2004, pp.1-4
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICPR.2004.1334205
Abstract
We present an efficient object segmentation strategy based on edge information to assist object-based video coding, motion estimation and motion compensation for the MPEG system. Two parameters are introduced and described based on edge information from the analysis of a local histogram. Using these features, a non-contrast based edge function is defined to generate an edge information map, which can be thought as a gradient image. Then, an improved marker-based region growing and merging techniques are derived to separate image regions. The proposed algorithm is tested on several standard images and demonstrates high reliability for object segmentation.