Fusion of textural statistics using a similarity measure : application to texture recognition and segmentation Non-parametric distance-based classification techniques and their applications

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Bibliographic Details
Published inPattern analysis and applications : PAA Vol. 11; no. 3-4; pp. 425 - 434
Main Authors KAROUI, I, FABLET, R, BOUCHER, J.-M, PIECZYNSKI, W, AUGUSTIN, J.-M
Format Journal Article
LanguageEnglish
Published Heidelberg Springer 2008
Subjects
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Learning and adaptive systems
Pattern recognition. Digital image processing. Computational geometry
Signal and communications theory
Signal, noise
Telecommunications and information theory
Bayes estimation
Markov process
Image texture
Histogram
Statistical analysis
Divergence
Probabilistic approach
Segmentation
Similarity
Image processing
Sonar
Probability distribution
Case based reasoning
MRF-based texture segmentation
Weighting
Non-parametric feature statistics
Classification
Filter bank
Metric
Feature fusion and selection, Texture recognition
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ISSN:1433-7541
1433-755X