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Proceedings Paper

Multiresolution processing of color texture
Author(s): Yufeng Liang; Joseph Wilder
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Paper Abstract

This paper outlines a new technique for processing structural color texture image to obtain textural units at multiple structural layers. The multi-layered color texture unit segmentation and feature abstraction allows for efficient structural texture classification and synthesis. In the three-phase process, color texture is first quantized and transformed into a grey-scale texture image. An efficient procedure for color feature clustering using PAM is introduced. In the second pahse, the global statistical features of texture are used to determine the texture unit size and the spatial relationship between the texture units in a periodic texture pattern. Finally, for texture units with internal structures, multi-layered segmenter is developed to separated these internal structures at different layers. Feature extraction and synthesis can be conducted at these multiple layers.

Paper Details

Date Published: 27 August 1999
PDF: 8 pages
Proc. SPIE 3836, Machine Vision Systems for Inspection and Metrology VIII, (27 August 1999); doi: 10.1117/12.360260
Show Author Affiliations
Yufeng Liang, Rutgers Univ. (United States)
Joseph Wilder, Rutgers Univ. (United States)

Published in SPIE Proceedings Vol. 3836:
Machine Vision Systems for Inspection and Metrology VIII
John W. V. Miller; Susan Snell Solomon; Bruce G. Batchelor, Editor(s)

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