지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제9권 제4호
- 발행연도
- 2013.1
- 수록면
- 592 - 601 (10page)
이용수
초록· 키워드
오류제보하기
Object segmentation is a challenging task in image processing and computer vision. In this paper, we present a visual attention based segmentation method to segment small sized interesting objects in natural images. Different from the traditional methods, we first search the region of interest by using our novel saliency-based method, which is mainly based on band-pass filtering, to obtain the appropriate frequency. Secondly, we applied the Gaussian Mixture Model (GMM) to locate the object region. By incorporating the visual attention analysis into object segmentation, our proposed approach is able to narrow the search region for object segmentation, so that the accuracy is increased and the computational complexity is reduced. The experimental results indicate that our proposed approach is efficient for object segmentation in natural images, especially for small objects. Our proposed method significantly outperforms traditional GMM based segmentation.
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등록된 정보가 없습니다.
참고문헌 (11)
참고문헌 신청
J. Harel / 2007 / Graph-based visual saliency / Advances in Neural Information Processing Systems : 545 ~ 552
K.K.Yiu / 1999 / Gaussian Mixture Model and Probabilistic Decision-based Neural Networks For Pattern Classification: A Comparative Study / Neural Computing and Applications
K.K.Yiu / 1999 / Gaussian Mixture Model and Probabilistic Decision-based Neural Networks For Pattern Classification: A Comparative Study / Neural Computing and Applications 8
L. Itti / 1998 / A model of saliency-based visual attention for rapid scene analysis / IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (11) : 1254 ~ 1259
R. Achanta / 2008 / Salient region detection and segmentation / International Conference on Computer Vision Systems 5008 : 66 ~ 75
K.K.Yiu / 1999 / Gaussian Mixture Model and Probabilistic Decision-based Neural Networks For Pattern Classification: A Comparative Study / Neural Computing and Applications
K.K.Yiu / 1999 / Gaussian Mixture Model and Probabilistic Decision-based Neural Networks For Pattern Classification: A Comparative Study / Neural Computing and Applications 8
L. Itti / 1998 / A model of saliency-based visual attention for rapid scene analysis / IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (11) : 1254 ~ 1259
R. Achanta / 2008 / Salient region detection and segmentation / International Conference on Computer Vision Systems 5008 : 66 ~ 75
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