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» A Fast Optimization Method for Level Set Segmentation
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ICCV
1999
IEEE
15 years 3 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
ISVC
2009
Springer
15 years 4 months ago
A Novel 3D Segmentation of Vertebral Bones from Volumetric CT Images Using Graph Cuts
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs). In this paper, we present a novel and fast 3D segment...
Melih S. Aslan, Asem M. Ali, Ham M. Rara, Ben Arno...
DAGM
2006
Springer
15 years 3 months ago
A Modification of the Level Set Speed Function to Bridge Gaps in Data
Abstract. Level set methods have become very popular means for image segmentation in recent years. But due to the data-driven nature of this methods it is difficult to segment obje...
Karsten Rink, Klaus D. Tönnies
IPMI
2005
Springer
15 years 5 months ago
A Generalized Level Set Formulation of the Mumford-Shah Functional for Brain MR Image Segmentation
Brain MR image segmentation is an important research topic in medical image analysis area. In this paper, we propose an active contour model for brain MR image segmentation, based ...
Lishui Cheng, Jie Yang, Xian Fan, Yuemin Zhu
IPPS
2007
IEEE
15 years 6 months ago
Automatic Program Segment Similarity Detection in Targeted Program Performance Improvement
Targeted optimization of program segments can provide an additional program speedup over the highest default optimization level, such as -O3 in GCC. The key challenge is how to au...
Haiping Wu, Eunjung Park, Mihailo Kaplarevic, Ying...