Micro-optical multiwavelet element for hybrid texture segmentation processor

Wenyi Feng; Yingbai Yan; Gaogui Huang; Guofan Jin

doi:10.1117/1.601605

1 January 1998 Micro-optical multiwavelet element for hybrid texture segmentation processor

Wenyi Feng, Yingbai Yan, Gaogui Huang, Guofan Jin

Optical Engineering, Vol. 37, Issue 1, (January 1998). https://doi.org/10.1117/1.601605

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.

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Wenyi Feng, Yingbai Yan, Gaogui Huang, and Guofan Jin "Micro-optical multiwavelet element for hybrid texture segmentation processor," Optical Engineering 37(1), (1 January 1998). https://doi.org/10.1117/1.601605

Published: 1 January 1998

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