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TIP
1998
162views more  TIP 1998»
15 years 3 months ago
Variational image segmentation using boundary functions
Abstract—A general variational framework for image approximation and segmentation is introduced. By using a continuous “line-process” to represent edge boundaries, it is poss...
Gary A. Hewer, Charles S. Kenney, B. S. Manjunath
ICASSP
2011
IEEE
14 years 7 months ago
Segmentation of the carotid artery in ultrasound images using frequency-designed B-spline active contour
Atherosclerosis is a cardiovascular disease very widespread into population. It is characterized by a thickening of the arterial walls, which affects blood flow. The intima-media...
José Luis Izquierdo-Zaragoza, María ...
CVIU
2007
128views more  CVIU 2007»
15 years 4 months ago
Iterative relative fuzzy connectedness for multiple objects with multiple seeds
In this paper we present a new theory and an algorithm for image segmentation based on a strength of connectedness between every pair of image elements. The object definition use...
Krzysztof Ciesielski, Jayaram K. Udupa, Punam K. S...
TSMC
2010
14 years 10 months ago
A Unified Tensor Level Set for Image Segmentation
Abstract--This paper presents a new region-based unified tensor level set model for image segmentation. This model introduces a three-order tensor to comprehensively depict feature...
Bin Wang, Xinbo Gao, Dacheng Tao, Xuelong Li
PAMI
2010
396views more  PAMI 2010»
15 years 2 months ago
Self-Validated Labeling of Markov Random Fields for Image Segmentation
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
Wei Feng, Jiaya Jia, Zhi-Qiang Liu