Variants of minimum correlation energy filters: comparative study

Evtikhiev, Nikolay N.; Shaulskiy, Dmitry V.; Zlokazov, E. Yu.; Starikov, Rostislav S.

doi:10.1117/12.919644

Cited by 12 publications

(3 citation statements)

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“…Minimum Noise And Correlation Energy filters (MINACE filters) 1, 2 provide good recognition in the case of grayscale input images, our previous work demonstrated. 3,4 Application of digital holographic synthesis methods based on Vanger Lught idea of amplitude hologram recording 5,6 gives an opportunity of MINACE filter realization as synthesized Fourier hologram (holographic filter) for the scheme of 4-f correlator. Application of spatial light modulator (SLM) with high frame rate but limited dynamical range of transparency gradation for realization of such a filter is attractive for high-speed recognition system construction.…”

Section: Introductionmentioning

confidence: 99%

MINACE filter: variants of realization in 4-f correlator

et al. 2014

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Minimum Noise And Correlation Energy (MINACE) filters application provides good ability to recognize in case of grayscale input images of an object with background noises. For fast correlation matching MINACE filters can be used in 4-f correlators as a computer generated hologram (holographic filters). In this paper different variants of holographic filters realization were discussed. The results of correlation recognition with holographic MINACE filters are presented.

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Section: Introductionmentioning

confidence: 99%

MINACE filter: variants of realization in 4-f correlator

et al. 2014

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“…The standard RGB colors model is used in the work. MINACE CFs were synthesized according to the method described in [7][8][9]. The discrimination capability of filters was estimated using Neyman-Pearson criterion.…”

Section: Problem Descriptionmentioning

confidence: 99%

“…Moreover MINACE filter synthesis algorithms are simple by means of computational burden [2][3][4][5][6]. Also the possibility of realization of MINACE filter based correlation image recognition method in optical image correlator attracts a special interest [7][8][9].…”

Section: Introductionmentioning

confidence: 99%