Unsupervised Segmentation of Textured Images by Edge Detection in Multidimensional Feature
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simultaneous Parameter Estimation and Segmentation of Gibbs Random Fields Using Simulated Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boundary Detection by Constrained Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Resolution Segmentation of Textured Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Texture Segmentation Using Markov Random Field Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Classification Using Windowed Fourier Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Restriction of a Markov random field on a graph and multiresolution statistical image modeling
IEEE Transactions on Information Theory
Deformable Shape Detection and Description via Model-Based Region Grouping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Segmentation by Data-Driven Markov Chain Monte Carlo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Isophotes Selection and Reaction-Diffusion Model for Object Boundaries Estimation
International Journal of Computer Vision
Optimal Level Curves and Global Minimizers of Cost Functionals in Image Segmentation
Journal of Mathematical Imaging and Vision
Level Lines as Global Minimizers of Energy Functionals in Image Segmentation
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Automatic Deformable Shape Segmentation for Image Database Search Applications
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Color image segmentation based on edge-preservation smoothing and soft C-means clustering
Machine Graphics & Vision International Journal - Special issue on latest results in colour image processing and applications
Image segmentation based on maximum-likelihood estimation and optimum entropy-distribution (MLE-OED)
Pattern Recognition Letters
Generalized scale: theory, algorithms, and application to image inhomogeneity correction
Computer Vision and Image Understanding
International Journal of Computer Vision
Unsupervised color-texture segmentation based on soft criterion with adaptive mean-shift clustering
Pattern Recognition Letters
A color image segmentation approach for content-based image retrieval
Pattern Recognition
Machine learning for automatic mapping of planetary surfaces
IAAI'07 Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2
Generalized scale: Theory, algorithms, and application to image inhomogeneity correction
Computer Vision and Image Understanding
Segmentation-driven image fusion based on alpha-stable modeling of wavelet coefficients
IEEE Transactions on Multimedia
Color-texture image segmentation by combining region and photometric invariant edge information
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Image region segmentation based on color coherence quantization
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
A high-reliability, high-resolution method for land cover classification into forest and non-forest
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Journal of Visual Communication and Image Representation
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We present a new method of segmentation in which images are segmented in partitions with connected components. We give computationally inexpensive algorithms for probability simulation and simulated annealing on the space of partitions with connected components of a general graph. In particular, Hastings algorithms and generalized Metropolis algorithms are defined to avoid heavy computation. To achieve segmentation, we propose a hierarchical approach which at each step minimizes a cost function on the space of partitions with connected components of a graph. The algorithm is applied to segment gray-level, color, and textured images.