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CVPR
2005
IEEE
14 years 6 months ago
Quantitative Evaluation of a Novel Image Segmentation Algorithm
We present a quantitative evaluation of SE-MinCut, a novel segmentation algorithm based on spectral embedding and minimum cut. We use human segmentations from the Berkeley Segment...
Francisco J. Estrada, Allan D. Jepson
PAMI
2007
171views more  PAMI 2007»
13 years 4 months ago
Toward Objective Evaluation of Image Segmentation Algorithms
—Unsupervised image segmentation is an important component in many image understanding algorithms and practical vision systems. However, evaluation of segmentation algorithms thu...
Ranjith Unnikrishnan, Caroline Pantofaru, Martial ...
TIP
2008
261views more  TIP 2008»
13 years 4 months ago
CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
Dana Elena Ilea, Paul F. Whelan
ICPR
2010
IEEE
13 years 10 months ago
Live Cell Segmentation in Fluorescence Microscopy via Graph Cut
We propose a novel Markovian segmentation model which takes into account edge information. By construction, the model uses only pairwise interactions and its energy is submodula...
Milán Leskó, Zoltan Kato, Antal Nagy, Imre Gombo...
ICPR
2008
IEEE
13 years 11 months ago
A novel automatic seed point selection algorithm for breast ultrasound images
Region growing is a frequently used segmentation method for medical ultrasound images processing. The first step of region growing is selecting the seed point which is inside the ...
Juan Shan, Heng-Da Cheng, Yuxuan Wang