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Proceedings Paper

Texture segmentation parallel model based on the symmetric and asymmetric Gabor filters
Author(s): Yan Zhou; Harold G. Longbotham; Hong Deng
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Paper Abstract

In this paper a parallel mode for texture segmentation is presented. The model is built on a basic texture segmentation model. In the basic model, a bank of filters, Gabor filters and asymmetric Gabor filters, are used to describe texture properties in both frequency and in spacial domains. Since there is much information in texture image, detecting texture boundaries will take a long time. In the parallel model, the operations of filtering image are implemented in parallel by different processors. Since the operations are independent and almost the same, the speedup should be very high. The examples show that the parallel model is very effective for the texture segmentation operation.

Paper Details

Date Published: 16 September 1994
PDF: 11 pages
Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.185957
Show Author Affiliations
Yan Zhou, Univ. of Texas/San Antonio (United States)
Harold G. Longbotham, Univ. of Texas/San Antonio (United States)
Hong Deng, Univ. of Texas/San Antonio (United States)


Published in SPIE Proceedings Vol. 2308:
Visual Communications and Image Processing '94
Aggelos K. Katsaggelos, Editor(s)

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