Unsupervised Local Binary Pattern Histogram Selection Scores for Color Texture Classification
These last few years, several supervised scores have been proposed in the literature to select histograms. Applied to color texture classification problems, these scores have improved the accuracy by selecting the most discriminant histograms among a set of available ones computed from a color image...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-09-01
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| Series: | Journal of Imaging |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2313-433X/4/10/112 |