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Pattern Recognition
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Pattern Recognition Letters - special issue on pattern recognition in practice V
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Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov Random Field Models for Unsupervised Segmentation of Textured Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
MRF Clustering for segmentation of color images
Pattern Recognition Letters
Where Are the Ball and Players? Soccer Game Analysis with Color Based Tracking and Image Mosaick
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Automatic Parsing of TV Soccer Programs
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The Colour Image Processing Handbook (Optoelectronics, Imaging and Sensing)
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A region growing and merging algorithm to color segmentation
Pattern Recognition
IEEE Transactions on Image Processing
Histogram-based segmentation in a perceptually uniform color space
IEEE Transactions on Image Processing
Regions adjacency graph applied to color image segmentation
IEEE Transactions on Image Processing
Adaptive color segmentation-a comparison of neural and statistical methods
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Color image segmentation by analysis of subset connectedness and color homogeneity properties
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy mode enhancement and detection for color image segmentation
Journal on Image and Video Processing - Color in Image and Video Processing
Color image segmentation by analysis of subset connectedness and color homogeneity properties
Computer Vision and Image Understanding
A novel multimedia data mining framework for information extraction of a soccer video stream
Intelligent Data Analysis
IEEE Transactions on Circuits and Systems for Video Technology
A review of vision-based systems for soccer video analysis
Pattern Recognition
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ICISP'10 Proceedings of the 4th international conference on Image and signal processing
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ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Computer Vision and Image Understanding
Fast pixel classification by SVM using vector quantization, tabu search and hybrid color space
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Structure in soccer videos: detecting and classifying highlights for automatic summarization
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Illumination invariant color model for object recognition in robot soccer
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
Scale selection for supervised image segmentation
Image and Vision Computing
Quantale-based autoassociative memories with an application to the storage of color images
Pattern Recognition Letters
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In this paper, we propose an original approach in order to improve the results of color image segmentation by pixel classification. We define a new kind of color space by selecting a set of color components which can belong to any of the different classical color spaces. Such spaces, which have neither psycho-visual nor physical color significance, are named hybrid color spaces. We propose to classify pixels represented in the hybrid color space which is specifically designed to yield the best discrimination between the pixel classes. This space, which is called the adapted hybrid color space, is built by means of a sequential supervised feature selection scheme. This procedure determines the adapted hybrid color space associated with a given family of images. Its dimension is not always equal to three, as for classical color spaces. The effectiveness of our color segmentation method is assessed in the framework of soccer image analysis. The team of each player is indentified by the colors of its soccer suit. The aim of the segmentation procedure is to extract meaningful regions representing the players and to recognize their teams.