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There are two approaches in the optical implementation of pattern recognition the correlation approach and the neural net approach.
There are a large number of optical processors and systems developed for implementation of a variety of transforms for optical signal processing and pattern recognition.
A classical text book but wide topics, including filtering, image segmentation, texture, optical flow, and also pattern recognition (Ballard & Brown 1982). 1 A survey paper on recent image filtering techniques (Milanfar 2013).
The CHWs were first introduced in[23] and utilize the concepts from circular harmonic functions (CHFs) employed in optical correlations for rotation-invariant pattern recognition.
The polymer provides a nonlinear medium in which real-time all-optical image correlation, and hence pattern recognition, can be accomplished.
As stated, two main options exist for in vivo imaging: either to develop a method offering sufficient optical resolution or to establish reliable pattern recognition at a lower magnification.
Optical correlators have been widely used for such applications as automatic target identification, invariant pattern recognition and machine vision.
Pattern recognition.
See also pattern recognition.
The optical pattern is nice.
"It's all pattern recognition.
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