Texture information processing system with binary optical wavelet element

Wenyi Feng; Yingbai Yan; Guofan Jin; Wenlu Wang; Minxian Wu

doi:10.1117/12.263048

31 December 1996 Texture information processing system with binary optical wavelet element

Wenyi Feng, Yingbai Yan, Guofan Jin, Wenlu Wang, Minxian Wu

Proceedings Volume 2866, International Conference on Holography and Optical Information Processing (ICHOIP '96); (1996) https://doi.org/10.1117/12.263048
Event: International Conference on Holography and Optical Information Processing, 1996, Nanjing, China

Abstract

The implementation strategy of optical wavelet transform for texture information processing is discussed in this paper. An opto-electronic hybrid system is constructed for texture segmentation, which is based on the multi-channel filtering framework in the early stages of human visual theory. First, a traditional optical system with a Damman grating as the beam splitter and a bank of Gabor wavelets as the channel filters is set up for feature extraction, and several clustering algorithms are then used for feature integration. Furthermore, a novel binary optical element with the functions of splitting, filtering and imaging is designed and fabricated to simplify the traditional system. The experimental results and the primary applications are also provided.

Citation Download Citation

Wenyi Feng, Yingbai Yan, Guofan Jin, Wenlu Wang, and Minxian Wu "Texture information processing system with binary optical wavelet element", Proc. SPIE 2866, International Conference on Holography and Optical Information Processing (ICHOIP '96), (31 December 1996); https://doi.org/10.1117/12.263048

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