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» Level Set Methods for Watershed Image Segmentation
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ICPR
2006
IEEE
14 years 10 months ago
Detecting Text Lines in Handwritten Documents
Although detecting text lines in machine printed documents is typically considered a solved problem, it is still a challenge to segment handwritten text lines in the general sense...
Yi Li, Yefeng Zheng, David S. Doermann
CBMS
2007
IEEE
13 years 10 months ago
Comparison of 3D Segmentation Algorithms for Medical Imaging
In this paper we present an evaluation of four different 3D segmentation algorithms with respect to their performance on three different CT Data Sets. The segmentation algorithms ...
Hakan Bulu, Adil Alpkocak
ICPR
2006
IEEE
14 years 10 months ago
A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions
This paper proposes a new generic object recognition system based on multi-scale affineinvariant image regions. Image segments are obtained by a watershed transform of the princip...
Wei Zhang, Hongli Deng, Thomas G. Dietterich, Eric...
ICIP
2006
IEEE
14 years 10 months ago
Segmenting Multiple Familiar Objects Under Mutual Occlusion
We address the problem of segmenting multiple similar objects by optimizing a Chan-Vese-like [1] functional with respect to a mixture of level set functions. We solve the variatio...
Qilong Zhang, Robert Pless
CVPR
2007
IEEE
14 years 11 months ago
Implicit Active Contours Driven by Local Binary Fitting Energy
In this paper, we propose a novel region-based active contour model for image segmentation with a variational level set formulation. By introducing a local binary fitting energy, ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...