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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
- 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