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» Improved Block-Based Image Segmentation
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113
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ICIP
2005
IEEE
16 years 4 months ago
A segmentation method using compound Markov random fields based on a general boundary model
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
Jue Wu, Albert C. S. Chung
MICCAI
2004
Springer
16 years 3 months ago
Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI
We propose an original approach for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical images proc...
Christophe Lenglet, Mikaël Rousson, Rachid De...
137
Voted
ICIAP
2007
ACM
15 years 4 months ago
A New Stereo Algorithm Integrating Luminance, Gradient and Segmentation Informations in a Belief-Propagation Framework
The paper deals with the design and implementation of a stereo algorithm. Disparity map is formulated as a Markov Random Field with a new smoothness constraint depending not only ...
Nello Balossino, Maurizio Lucenteforte, Luca Piova...
107
Voted
ICCV
2011
IEEE
14 years 2 months ago
Object Detection and Segmentation from Joint Embedding of Parts and Pixels
We present a new framework in which image segmentation, figure/ground organization, and object detection all appear as the result of solving a single grouping problem. This frame...
Michael Maire, Stella X. Yu, Pietro Perona
ICCV
2005
IEEE
16 years 4 months ago
Guiding Model Search Using Segmentation
In this paper we show how a segmentation as preprocessing paradigm can be used to improve the efficiency and accuracy of model search in an image. We operationalize this idea usin...
Greg Mori