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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.
KSP Keywords
Edge function, Edge information, High Reliability, Local histogram, Motion Compensation(MoCo), Motion estimation(ME), Object segmentation, Object-based, Region Growing, Two parameters, Video coding