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
- 학술대회자료
- 저자정보
- 발행연도
- 2007.5
- 수록면
- 33 - 38 (6page)
이용수
이 논문의 연구 히스토리 (3)
2007
- 이 논문의 후속연구가 궁금하신가요?
- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
- 이 논문의 연구 히스토리 확인하기
초록· 키워드
오류제보하기
A fine segmentation algorithm is proposed for extracting objects in an image, which have both weak boundaries and highly non-convex shapes. The image has simple background colors or simple object colors. Two concepts, geometric attraction-driven flow (GADF) and edge-regions are combined to detect boundaries of objects in a sub-pixel resolution. The main strategy to segment the boundaries is to construct initial curves close to objects by using edge-regions and then to make a curve evolution in GADF. Since the initial curves are close to objects regardless of shapes, highly non-convex shapes are easily detected and dependence on initial curves in boundary-based segmentation algorithms is naturally removed. Weak boundaries are also detected because the orientation of GADF is obtained regardless of the strength of boundaries. For a fine segmentation, we additionally propose a local region competition algorithm to detect perceptible boundaries which are used for the extraction of objects without visual loss of detailed shapes. We have successfully accomplished the fine segmentation of objects from images taken in the studio and aphids from images of soybean leaves.
목차
ABSTRACT
INTRODUCTION
ALGORITHMS
EXAMPLES AND NUMERICAL ASPECTS
CONCLUSIONS
REFERENCES
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
FINE SEGMENTATION USING GEOMETRIC ATTRACTION-DRIVEN FLOW AND EDGE-REGIONS
JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS
2007 .06
-
FINE SEGMENTATION USING GEOMETRIC ATTRACTION-DRIVEN FLOW AND EDGE-REGIONS
한국산업응용수학회 학술대회 논문집
2006 .11
-
GEOMETRIC ATTRACTION-DRIVEN FLOW FOR IMAGE SEGMENTATION AND BOUNDARY DETECTION
한국산업응용수학회 학술대회 논문집
2007 .11
-
NEW REGULARIZATION TECHNIQUE FOR SEGMENTATION
한국산업응용수학회 학술대회 논문집
2010 .12
-
MULTIPLE-OBJECT SEGMENTATION WITHOUT SUPERVISION BY ADAPTIVE GLOBAL MAXIMUM GROUPING
한국산업응용수학회 학술대회 논문집
2011 .05
-
SEGMENTATION WITH SHAPE PRIOR USING GLOBAL AND LOCAL IMAGE FITTING ENERGY
JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS
2014 .09
-
SEGMENTATION BY ACTIVE CONTOURS AND LEVEL SETS AND ITS APPLICATION IN MEDICAL IMAGES
한국산업응용수학회 학술대회 논문집
2009 .11
-
A noble regularization in level set method
한국산업응용수학회 학술대회 논문집
2010 .04
-
AN AUTOMATED BRAIN CANCER SEGMENTATION IN MULTIPLE MR SEQUENCE
한국산업응용수학회 학술대회 논문집
2010 .04
-
A MULTIPHASE LEVEL SET FRAMEWORK FOR IMAGE SEGMENTATION USING GLOBAL AND LOCAL IMAGE FITTING ENERGY
JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS
2017 .06
-
A High Image Compression for Computer Storage and Communication
자연 과학 논문집 : 배재대학 첨단과학연구소
1991 .01
-
The Parametrized Boundary of a Period-2 Component in the Degree-3 Bifurcation Set
한국전산응용수학회 학술발표회
2003 .01
-
The immersed boundary method with porous boundary
한국산업응용수학회 학술대회 논문집
2009 .05
-
A FAST AND ACCURATE NUMERICAL METHOD FOR MEDICAL IMAGE SEGMENTATION
JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS
2010 .12
-
Segmentation of Objects with Multi Layer Perceptron by Using Informations of Window
한국데이터정보과학회지
2007 .12
-
EXISTENCE OF POSITIVE SOLUTIONS TO NONLOCAL BOUNDARY VALUE PROBLEMS WITH BOUNDARY PARAMETER
East Asian Mathematical Journal
2016 .01
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2009-410-014679646