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Kim et al., 2009 - Google Patents

Color–texture segmentation using unsupervised graph cuts

Kim et al., 2009

Document ID
6848594606878008063
Author
Kim J
Hong K
Publication year
Publication venue
Pattern Recognition

External Links

Snippet

This paper proposes a novel approach to color–texture segmentation based on graph cut techniques, which finds an optimal color–texture segmentation of a color textured image by regarding it as a minimum cut problem in a weighted graph. A new texture descriptor based …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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    • G06K9/6261—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation partitioning the feature space
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    • G—PHYSICS
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    • G06K9/62—Methods or arrangements for recognition using electronic means
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