Paper
27 August 1999 Multiresolution processing of color texture
Yufeng Liang, Joseph Wilder
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yufeng Liang and Joseph Wilder "Multiresolution processing of color texture", Proc. SPIE 3836, Machine Vision Systems for Inspection and Metrology VIII, (27 August 1999); https://doi.org/10.1117/12.360260
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KEYWORDS
Quantization

Image segmentation

Image processing

Image classification

Statistical analysis

Detection and tracking algorithms

Feature extraction

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