Numerical methods of the efficiency analysis of the filtration procedures of images
Matematičeskoe modelirovanie, Tome 20 (2008) no. 2, pp. 113-121.

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The numerical methods of the tasks decision of strict estimation of procedures efficiency of the image filtration in a range them intensity by pulse noise from 0 up to 100% are offered. The sensitivity of offered methods to the basic parameters of the filtered image — sanction and statistics of figures is investigated. The methods of the analysis are considered on a modeling example of two algorithms of a filtration.
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E. A. Samoylin. Numerical methods of the efficiency analysis of the filtration procedures of images. Matematičeskoe modelirovanie, Tome 20 (2008) no. 2, pp. 113-121. http://geodesic.mathdoc.fr/item/MM_2008_20_2_a10/

[1] Voskoboinikov Yu. E., Kolker A. B., “Adaptivnyi algoritm filtratsii i preobrazovanie izobrazhenii v vektornyi format”, Avtometriya, 38:4 (2002), 3–11

[2] Klochko V. K., Ermakov A. A., “Algoritmy filtratsii i segmentatsii trekhmernykh radiolokatsionnykh izobrazhenii poverkhnosti”, Avtometriya, 38:4 (2002), 41–48

[3] Churikov D. V., “Atomarnye funktsii i kombinirovannyi algoritm filtratsii izobrazhenii v usloviyakh pomekh vysokoi intensivnosti”, Radiotekhnika, 2004, no. 9, 69–71

[4] Voskoboinikov Yu. E., Kasyanova S. N., Kislenko N. P., Trofimov O. E., “Ispolzovanie algoritmov nelineinoi filtratsii dlya uluchsheniya kachestva vosstanovlennykh tomograficheskikh izobrazhenii”, Avtometriya, 1997, no. 3, 13–17

[5] Belyavtsev V. G., Voskoboinikov Yu. E., “Algoritmy filtratsii izobrazhenii s adaptatsiei razmerov apertury”, Avtometriya, 1998, no. 3, 18–27

[6] Belyavtsev V. G., Voskoboinikov Yu. E., “Vektornye lokalnye filtry s adaptatsiei razmera apertury”, Avtometriya, 2001, no. 6, 32–45

[7] Voskoboinikov Yu. E., Belyavtsev V. G., “Nelineinye algoritmy filtratsii vektornykh signalov”, Avtometriya, 1999, no. 5, 97–105

[8] Samoilin E. A., “Otsenka effektivnosti algoritmov filtratsii-segmentatsii izobrazhenii”, Avtomatika i vychislitelnaya tekhnika, 2004, no. 2, 62–70

[9] Samoilin E. A., “Otsenka effektivnosti programmnykh metodov obrabotki izobrazhenii”, Problemy teorii i praktiki upravleniya. Prilozheniya. Programmnye produkty i sistemy, 2003, no. 4, 34–37

[10] Samoilin E. A., “Nelineinye algoritmy filtratsii impulsnogo shuma na izobrazheniyakh”, Avtometriya, 41:5 (2005), 26–32

[11] Khuang T. S. i dr., Bystrye algoritmy v tsifrovoi obrabotke izobrazhenii, Radio i svyaz, M., 1984, 224 pp. (Per. s angl.) | MR

[12] Korolyuk V. S., Portenko N. I., Skorokhod A. V., Turbin A. F., Spravochnik po teorii veroyatnostei i matematicheskoi statistike, Nauka. Glavnaya redaktsiya fiziko-matematicheskoi literatury, M., 1985, 640 pp. | MR | Zbl