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TIP
1998
162views more  TIP 1998»
15 years 5 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 10 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 6 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
15 years 29 days 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 4 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