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PAMI
2007
123views more  PAMI 2007»
13 years 4 months ago
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
Dalila Benboudjema, Wojciech Pieczynski
ICIP
2005
IEEE
14 years 6 months ago
Segmenting non stationary images with triplet Markov fields
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
Dalila Benboudjema, Wojciech Pieczynski
ICIP
2000
IEEE
14 years 6 months ago
Texture-Based Segmentation of Satellite Weather Imagery
Unsupervised segmentation of weather images into features that correspond to physical storms is a fundamental and difficult problem. Treating an infrared satellite image as a Mark...
V. Lakshmanan, Victor E. DeBrunner, R. Rabin
PREMI
2009
Springer
13 years 11 months ago
Unsupervised Color Image Segmentation Using Compound Markov Random Field Model
Abstract. In this paper, we propose an unsupervised color image segmentation scheme using homotopy continuation method and Compound Markov Random Field (CMRF) model. The proposed s...
Sucheta Panda, P. K. Nanda
ICIP
2002
IEEE
14 years 6 months ago
Unsupervised detection of contours using a statistical model
In this paper, we describe an unsupervised segmentation method for contours which proves quite adapted for the images obtained by electronic acquisition. We present two statistica...
François Destrempes, Max Mignotte