상세정보
학술지
Novel Noncontrast-Based Edge Descriptor for Image Segmentation
- 저자
- 김병규, 박동조
- 발행일
- 200609
- 출처
- IEEE Transactions on Circuits and Systems for Video Technology, v.16 no.9, pp.1086-1095
- ISSN
- 1051-8215
- 출판사
- IEEE
- 협약과제
- 05MW1200, 임베디드 S/W 기반 SmarTown 솔루션 기술, 마평수
- 초록
- We present an efficient video segmentation strategy based on new edge features to assist object-based video coding, motion estimation, and motion compensation for MPEG-4 and MPEG-7. The proposed algorithm utilizes the human visual perception to provide edge information. Based on the human visual perception, two edge features are introduced and described based on edge features from analysis of a local histogram. An edgeness function is derived to generate the edgeness information map by using the defined features, which can be thought as the gradient image. Then, an improved marker-based region growing and merging techniques are derived to separate the image regions. The proposed algorithm is tested on several standard images and demonstrates high efficiency for object segmentation. © 2006 IEEE.
- KSP 제안 키워드
- Edge features, Edge information, Human visual perception, Local histogram, MPEG-7, Motion Compensation(MoCo), Motion estimation(ME), Mpeg-4, Object segmentation, Object-based, Region Growing