A Mach–Zehnder joint transform correlator with the simulated annealing algorithm for pattern recognition

Chen, Chewei; Chen, Chulung

doi:10.1016/j.optcom.2011.04.038

Cited by 2 publications

(4 citation statements)

References 18 publications

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“…The output contains the overlapping of each cross-correlation of the reference component and the target component. More detailed analysis of MZJTC can be found in the literature [10][11][12]. To evaluate the recognition capability, some measurement criteria [13] including correlation peak intensity (CPI) and peak to sidelobe ratio (PSR) are utilized.…”

Section: Discussionmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

“…On the other hand, the simulated annealing (SA) method [9,10] have been successfully applied to optimization problems. Annealing is a physical process of decreasing temperature gradually in order to reach the global minimum energy states.…”

Section: Introductionmentioning

confidence: 99%

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

Chen

2016

AIVP

Self Cite

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“…Meanwhile, the zero-order term is removed. More detailed analysis of MZJTC can be found [10][11][12]. To evaluate the recognition ability, some measurement criteria [13] including correlation peak intensity (CPI) and peak to sidelobe ratio (PSR) are adopted.…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, the simulated annealing (SA) method [9,10] have been successfully applied to optimization problems. Annealing is a physical process of decreasing temperature slowly in order to reach the global minimum energy states.…”

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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A Mach–Zehnder joint transform correlator with the simulated annealing algorithm for pattern recognition

Cited by 2 publications

References 18 publications

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

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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