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CVPR
2007
IEEE
14 years 9 months ago
Unsupervised Segmentation of Objects using Efficient Learning
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...
ICCV
2009
IEEE
15 years 18 days ago
Saliency Driven Total Variation Segmentation
This paper introduces an unsupervised color segmentation method. The underlying idea is to segment the input image several times, each time focussing on a different salient part...
Michael Donoser, Martin Urschler, Martin Hirzer an...
ICIP
1998
IEEE
14 years 9 months ago
Segmentation of Dermatoscopic Images by Stabilized Inverse Diffusion Equations
Several segmentation techniques were evaluated for their effectiveness in distinguishing lesion from background in dermatoscopic images of pigmented lesions (moles and melanomas)....
Jianbo Gao, Jun Zhang, Matthew G. Fleming, Ilya Po...
IJISTA
2008
99views more  IJISTA 2008»
13 years 7 months ago
Increasing depth lateral resolution based on sensor fusion
Abstract: Technologies for measuring range data were intensively developed in recent years. The time-of-flight matrix range sensor is one of the most active range acquisition devic...
W. Hannemann, André Linarth, B. Liu, Gabrie...
ISNN
2005
Springer
14 years 1 months 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