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TIP
2008
144views more  TIP 2008»
13 years 7 months ago
Minimization of Region-Scalable Fitting Energy for Image Segmentation
Intensity inhomogeneities often occur in real-world images and may cause considerable difficulties in image segmentation. In order to overcome the difficulties caused by intensity ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...
ISBI
2008
IEEE
14 years 8 months ago
Landmark selection for shape model construction via equalization of variance
Model-based segmentation approaches, such as those employing Active Shape Models (ASMs), have proved to be useful for medical image segmentation and understanding. To build the mo...
Sylvia Rueda, Jayaram K. Udupa, Li Bai
ICBA
2004
Springer
271views Biometrics» more  ICBA 2004»
14 years 25 days ago
Enhance the Alignment Accuracy of Active Shape Models Using Elastic Graph Matching
Active Shape Model (ASM) is one of the most popular methods for image alignment. To improve its matching accuracy, in this paper, ASM searching method is combined with a simplifie...
Sanqiang Zhao, Wen Gao, Shiguang Shan, Baocai Yin
ICCV
1999
IEEE
13 years 11 months ago
Geodesic Active Regions for Supervised Texture Segmentation
This paper presents a novel variational method for supervised texture segmentation. The textured feature space is generated by filtering the given textured images using isotropic ...
Nikos Paragios, Rachid Deriche
ICASSP
2010
IEEE
13 years 7 months ago
Convergence behavior of the Active Mask segmentation algorithm
We study the convergence behavior of the Active Mask (AM) framework, originally designed for segmenting punctate image patterns. AM combines the flexibility of traditional active...
Doru-Cristian Balcan, Gowri Srinivasa, Matthew C. ...