Genetic algorithm for optical pattern recognition

Mahlab, Uri; Shamir, Joseph; Hj, Caulfield

doi:10.1364/ol.16.000648

Cited by 61 publications

(21 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(11) and (12), we can create a unique corresponding relationship from point to point on the hemisphere and the observation plane. (11) and (12), we can create a unique corresponding relationship from point to point on the hemisphere and the observation plane.…”

Section: Procedures Of the Algorithmmentioning

confidence: 99%

“…Having known the amplitude of the object plane and the target plane, one solves the phase information of the object plane. 10 A global algorithm, such as a genetic algorithm 11 and simulated annealing 12 algorithm, can also be applied as the global-minima-searching method, but these algorithms generally have a slow convergence speed and the reconstruction precision is also not very high. In the 1970s, Gerchberg and Saxton had proposed the GS algorithm.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modified iterative algorithm for the design of wide-diffraction angle diffraction optical element

Song

et al. 2015

Opt. Eng

View full text Add to dashboard Cite

Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 10/05/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Abstract. A fast and effective algorithm for designing the diffraction optical element (DOE) with a wide-diffraction angle is presented. DOE had been widely used in many fields in recent years, but there are finite methods which can design DOE with wide-diffraction angle quickly occupying a small quantity of computing resource. By the use of a nonparaxial scalar diffraction equation as the light transmission operator, a modified iterative algorithm is proposed. To verify our algorithm, the checkerboard image, binary image, and gray-scale image are numerically simulated, respectively. The simulation results show that the final variance between the preset image and final pattern is very small, the value is generally lower than 10 −5 , and the natural images even have a final variance less than 10 −12 . At the same time, the diffraction efficiency has been significantly increased to be larger than 90%, which indicates that the design method is effective and practical. Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 10/05/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Optical Engineering 093106-7 September 2015 • Vol. 54(9) Lv et al.: Modified iterative algorithm for the design of wide-diffraction angle diffraction optical element Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 10/05/2015 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx

show abstract

Section: Procedures Of the Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modified iterative algorithm for the design of wide-diffraction angle diffraction optical element

Song

et al. 2015

Opt. Eng

View full text Add to dashboard Cite

show abstract

“…Genetic algorithms (GA) are categorized as global search heuristics [30][31][32]. Genetic algorithms are a particular class of evolutionary algorithms (also known as evolutionary computation) that use techniques inspired by evolutionary biology, such as inheritance, mutation, selection and crossover (also called recombination).…”

Section: Genetic Optimization Algorithmsmentioning

confidence: 99%

Digital Diffractive Optics: Numeric Type

Kress

Meyrueis

2009

Applied Digital Optics

View full text Add to dashboard Cite

“…The procedure is continued until jC i j reaches a minimum value. Various optimization techniques for improving computer generated holograms have been implemented, such as simulated annealing [60] or the use of genetic algorithms [61]. Simulated annealing uses DBS but also includes a probabilistic evaluation of the cost function that helps to find out more global minima than in a simple DBS method.…”

Section: Computer Generated Hologramsmentioning

confidence: 99%