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CVPR
2011
IEEE
14 years 10 months ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk
ISBI
2006
IEEE
16 years 7 months ago
Tracking of the mitral valve leaflet in echocardiography images
This paper presents a semi-automatic method for the segmentation and the tracking of the mitral valve leaflet in transesophageal echocardiography. We use two connected active cont...
Jocelyne Troccaz, Olivier Chavanon, Sébasti...
ISNN
2005
Springer
16 years 15 hour ago
MRF-MBNN: A Novel Neural Network Architecture for Image Processing
Contextual information and a priori knowledge play important roles in image segmentation based on neural networks. This paper proposed a method for including contextual information...
Nian Cai, Jie Yang, Kuanghu Hu, Haitao Xiong
CVPR
2009
IEEE
17 years 1 months ago
Half-integrality based algorithms for Cosegmentation of Images
We study the cosegmentation problem where the objective is to segment the same object (i.e., region) from a pair of images. The segmentation for each image can be cast using a p...
Chuck R. Dyer, Lopamudra Mukherjee, Vikas Singh
ICIP
2002
IEEE
15 years 11 months ago
Two channels fuzzy c-means detection of multiple sclerosis lesions in multispectral MR images
A novel approach to the detection of multiple sclerosis (MS) lesions in T2- and PD-weighted MR images is presented. The core of the proposed method is the use of the two channels ...
Daniele Peri, Edoardo Ardizzone, Roberto Pirrone, ...