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Journal ArticleDOI

Multichannel single-output color pattern recognition by use of a joint-transform correlator.

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TLDR
A novel method for performing color image recognition by the use of the coherent joint-transform correlator, which provides a single output-plane result of the optical coherent addition of the separate channels' correlation outputs.
Abstract
A novel method for performing color image recognition by the use of the coherent joint-transform correlator is introduced The input plane of the proposed method is a spatial rearrangement of the separation into color channels of both the color input scene and the color target This input plane is gray scaled and monochromatic, thus it can be displayed by the use of amplitude spatial light modulators to achieve real-time operation The system provides a single output-plane result of the optical coherent addition of the separate channels’ correlation outputs At the output plane no electronic postprocessing is needed, and the detection decision is achieved simply by the application of threshold detection Experimental results and computer simulations are presented to demonstrate the abilities of this system

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Citations
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Journal ArticleDOI

Color pattern recognition with the multi-channel non-zero-order joint transform correlator based on the HSV color space

TL;DR: Numerical results show the effectiveness of the proposed model to further enhance the correlation output, and evaluates the performance of the system by applying multiple levels of additive Gaussian noise, as well as in a realistic color background.
Journal ArticleDOI

Color pattern recognition using fringe-adjusted joint transform correlation

TL;DR: It is shown that the fringe-adjusted filtering can be effectively applied to a multichannel single-output JTC to obtain excellent correlation discrimination between an unknown input scene target and a reference image for all color channels.
Journal ArticleDOI

Modified morphological correlation based on bit-map representations

TL;DR: A modification of this morphological correlator is carried out by use of a binary slicing process instead of linear thresholding, which requires fewer calculations and provides even higher discrimination.
Journal ArticleDOI

Linearly constraint color pattern recognition with a non-zero order joint transform correlator

TL;DR: A multi-channel single-output non-zero order JTC (NOJTC) to achieve linearly constraint optimization on output correlation energy and the correlator shows the advantage of distortion invariance and good detection ability.
Proceedings ArticleDOI

Color pattern recognition using fringe-adjusted joint transform correlation

TL;DR: It is shown that the fringe-adjusted filtering can be applied to a multichannel single-output JTC to obtain excellent correlation output that represents the coherence level between the input target image and the reference image for all color channels.
References
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Journal ArticleDOI

Signal detection by complex spatial filtering

TL;DR: The experimental results obtained to date indicate that this technique provides an excellent two-dimensional filtering capability that will play a key role in such problems as shape recognition and signal detection.
Journal ArticleDOI

Nonlinear joint power spectrum based optical correlation.

TL;DR: It is shown that various types of autocorrelation signal can be produced simply by varying the severity of the nonlinearity and without the need to synthesize the specific matched filter.
Journal ArticleDOI

A real-time programmable joint transform correlator

TL;DR: A real-time programmable joint transform correlator (PJTC) utilizing a magneto-optic device (MOD) with a liquid crystal light value (LCLV) is presented in this article.
Journal ArticleDOI

Adaptive real-time pattern recognition using a liquid crystal TV based joint transform correlator

TL;DR: A new implementation of the real-time joint transform correlator architecture using inexpensive LCTVs will be discussed and preliminary experimental results are presented to verify the usefulness of the technique.
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