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IAJIT
2010
230views more  IAJIT 2010»
9 years 6 months ago
An Unsupervised Artificial Neural Network Method for Satellite Image Segmentation
: Image segmentation is an essential step in image processing. The goal of segmentation is to simplify and/or to change the representation of an image into a form easier to analyze...
Mohamad Awad
PR
2007
111views more  PR 2007»
9 years 7 months ago
Design and formal proof of a new optimal image segmentation program with hypermaps
This article presents the design of a new functional 2D image segmentation algorithm by cell merging in a subdivision, its proof of total correctness, and the derivation of an opt...
Jean-François Dufourd
PR
2007
340views more  PR 2007»
9 years 7 months ago
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation
— Fuzzy c-means (FCM) algorithms with spatial constraints (FCM_S) have been proven effective for image segmentation. However, they still have the following disadvantages: 1) Alth...
Weiling Cai, Songcan Chen, Daoqiang Zhang
PAMI
2007
123views more  PAMI 2007»
9 years 7 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
PAMI
2007
171views more  PAMI 2007»
9 years 7 months ago
Toward Objective Evaluation of Image Segmentation Algorithms
—Unsupervised image segmentation is an important component in many image understanding algorithms and practical vision systems. However, evaluation of segmentation algorithms thu...
Ranjith Unnikrishnan, Caroline Pantofaru, Martial ...
IJCV
2008
172views more  IJCV 2008»
9 years 7 months ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann
PAMI
1998
124views more  PAMI 1998»
9 years 7 months ago
Robust Adaptive Segmentation of Range Images
—We propose a novel image segmentation technique using the robust, adaptive least kth order squares (ALKS) estimator which minimizes the kth order statistics of the squared of re...
Kil-Moo Lee, Peter Meer, Rae-Hong Park
IVC
2002
109views more  IVC 2002»
9 years 7 months ago
Study of Dempster-Shafer theory for image segmentation applications
This paper addresses a new knowledge model using the Dempster
Michèle Rombaut, Yue Min Zhu
IVC
2002
92views more  IVC 2002»
9 years 7 months ago
Image segmentation by relaxation using constraint satisfaction neural network
The problem of image segmentation using constraint satisfaction neural networks (CSNN) has been considered. Several variations of the CSNN theme have been advanced to improve its ...
Fatih Kurugollu, Bülent Sankur, A. Emre Harma...
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