1 January 1998 Micro-optical multiwavelet element for hybrid texture segmentation processor
Author Affiliations +
Optical Engineering, 37(1), (1998). doi:10.1117/1.601605
Abstract
The concept of multiresolution analysis on the basis of multichannel filtering in the theory of the early stages of human vision offers suitable methods for pattern recognition. A novel micro-optical multiwavelet element, which has the functions of wavelet filtering, beamsplitting, and self-imaging, has been designed and fabricated for a hybrid texture segmentation processor. All sixteen channel filters process in parallel, using a conventional 2-D correlator. Accordingly, sixteen filtered images sensitive to different scales and orientations are obtained simultaneously as features for texture segmentation. Experimental results and primary applications are presented.
Wenyi Feng, Yingbai Yan, Gaogui Huang, Guofan Jin, "Micro-optical multiwavelet element for hybrid texture segmentation processor," Optical Engineering 37(1), (1 January 1998). http://dx.doi.org/10.1117/1.601605
JOURNAL ARTICLE
4 PAGES


SHARE
KEYWORDS
Image segmentation

Image filtering

Wavelets

Optical filters

Optical correlators

Wavelet transforms

Image processing algorithms and systems

Back to Top