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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| Published in | Pattern analysis and applications : PAA Vol. 11; no. 3-4; pp. 425 - 434 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Heidelberg
Springer
2008
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| Subjects | |
| Online Access | Get full text |
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| Author | AUGUSTIN, J.-M PIECZYNSKI, W KAROUI, I BOUCHER, J.-M FABLET, R |
|---|---|
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| Issue | 3-4 |
| Keywords | 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 |
| Language | English |
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| StartPage | 425 |
| SubjectTerms | 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 |
| Subtitle | Non-parametric distance-based classification techniques and their applications |
| Title | Fusion of textural statistics using a similarity measure : application to texture recognition and segmentation |
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