Texture segmentation parallel model based on the symmetric and asymmetric Gabor filters

Yan Zhou; Harold G. Longbotham; Hong Deng

doi:10.1117/12.185957

16 September 1994 Texture segmentation parallel model based on the symmetric and asymmetric Gabor filters

Yan Zhou, Harold G. Longbotham, Hong Deng

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185957
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

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.

Citation Download Citation

Yan Zhou, Harold G. Longbotham, and Hong Deng "Texture segmentation parallel model based on the symmetric and asymmetric Gabor filters", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185957

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available