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PAMI
2008
137views more  PAMI 2008»
13 years 4 months ago
IRGS: Image Segmentation Using Edge Penalties and Region Growing
This paper proposes an image segmentation method named iterative region growing using semantics (IRGS), which is characterized by two aspects. First, it uses graduated increased ed...
Qiyao Yu, David A. Clausi
TIP
2010
162views more  TIP 2010»
12 years 11 months ago
Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty
Multivariate image segmentation is a challenging task, influenced by large intraclass variation that reduces class distinguishability as well as increased feature space sparseness ...
A. K. Qin, David A. Clausi
MVA
2002
254views Computer Vision» more  MVA 2002»
13 years 4 months ago
Retinal Blood Vessel Extraction by Using Multi-resolution Matched Filtering and Directional Region Growing Segmentation
Anew method to extract retinal blood vessels from a colour fundus image is described. Digital colour h d u s images are contrast enhanced in order to obtain sharp edges. The green...
Mitsutoshi Himaga, David Usher, James F. Boyce
ICPR
2000
IEEE
14 years 5 months ago
A Concurrent Region Growing Algorithm Guided by Circumscribed Contours
Image segmentation of natural scenes constitutes a major problem in Machine Vision. This paper presents a new proposal for the image segmentation problem which has been based on t...
Xavier Cufí, Xavier Muñoz, Jordi Fre...
3DPVT
2004
IEEE
148views Visualization» more  3DPVT 2004»
13 years 8 months ago
Surface Model Generation from Range Images of Industrial Environments
This paper presents an hybrid segmentation technique that combines both the speed of an edge based approach with the robustness of a surface based approach. It consists of three s...
Angel Domingo Sappa