6 October 1998 Color texture analysis: a unified approach
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Proceedings Volume 3521, Machine Vision Systems for Inspection and Metrology VII; (1998); doi: 10.1117/12.326978
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States
Abstract
Color and texture have long been used as image features to segment and classify images. In most of the previous approaches, color and texture are used as two uncorrelated features, while in the real world, the spatial information and spectral information of an image are often tightly coupled. An feature extraction algorithm is studied in this paper, which represents colored texture in a unified way. With this approach, different spectral channels are correlated spatially to give an unified representation of both the color and texture information. In order to use this feature in image segmentation applications, properties of the feature are studied. A novel segmentation algorithm is proposed based on the study. Preliminary segmentation results are presented.
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Yufeng Liang, Joseph Wilder, "Color texture analysis: a unified approach", Proc. SPIE 3521, Machine Vision Systems for Inspection and Metrology VII, (6 October 1998); doi: 10.1117/12.326978; https://doi.org/10.1117/12.326978
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KEYWORDS
Image segmentation

Matrices

Image processing algorithms and systems

Radon

Reflectivity

Correlation function

Feature extraction

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