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

We present a novel color pattern recognition technology based on non-zero order joint transform correlator (NOJTC) system in this paper. In this method, each of the color target image is transformed to a grayscale image by using encoding technique. We also use minimum average correlation energy (MACE) approach to design an optimized synthetic reference function. When the input plane is gray-scaled and monochromatic, the function can be displayed in the liquid crystal spatial light modulator (LCSLM) to achieve real-time operation. Furthermore, we apply a joint transform power spectrum (JTPS) subtraction method to remove the zero-order terms and the desired peaks can be easily detected.

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“…Hence, the unneeded peak can be removed by the JTPS subtraction method [9]. The resultant power spectrum is expressed as follow:…”

Section: Theorymentioning

confidence: 99%

Multichannel single-output color pattern recognition with distortion tolerant capability

2005

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“…The Mach-Zehnder JTC (MZJTC) [6] can remove the zero-order term in only one step directly without storing the Fourier spectra of both the reference and target images beforehand. Later, Chen et al [7,8] adopted constraint optimization based on Lagrangian method to yield a sharp correlation peak.…”

Section: Introductionmentioning

confidence: 99%

Pattern Recognition Based on YIQ Colour Space with Simulated Annealing Algorithm and Optoelectronic Joint Transform Correlation

Chen

2016

AIVP

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For pattern recognition on various views of the interested colour object, we adopt the YIQ colour space when using simulated annealing algorithm to design the template matching function. Joint transform correlation is devoted for recognition of colour targets. Quantized reference functions are designed for the purpose of display on liquid crystal spatial light modulators. Each reference function is trained with true class images rotated in-plane at 2 degrees intervals between -14 degrees and 14 degrees. Numerical result shows that, generally, YIQ space outperforms conventional RGB space.

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“…The MachZehnder JTC (MZJTC) [6] can remove the zero-order term in only one step directly without storing the Fourier spectra of both the reference and target images beforehand. Later, Chen et al [7,8] adopted constraint optimization based on Lagrangian method to yield a sharp correlation peak.…”

Section: Introductionmentioning

confidence: 99%

Application of Simulated Annealing for Color Pattern Recognition to Hybrid Optoelectronic Joint Transform Correlator

Chen

Hsu

et al. 2015

AIVP

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For invariant pattern recognition, a method using simulated annealing algorithm is introduced. Near optimal quantized reference functions are designed to be displayed on liquid crystal spatial light modulators. Mach-Zehnder joint transform correlator is adopted as the system for recognition of color targets. From numerical results, the optoelectronic pattern recognition system with simulated annealing algorithm shows a promising capability.

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

Cited by 16 publications

References 18 publications

Multichannel single-output color pattern recognition with distortion tolerant capability

Multichannel single-output color pattern recognition with distortion tolerant capability

Pattern Recognition Based on YIQ Colour Space with Simulated Annealing Algorithm and Optoelectronic Joint Transform Correlation

Application of Simulated Annealing for Color Pattern Recognition to Hybrid Optoelectronic Joint Transform Correlator

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