Шукати за:
Роком видання
Автором
Назвою статті
Membership functions for a resolution and size variables in fuzzy image quality evaluation
Повний текст (PDF)
УДК: 004.932.2:004.8
Мова публікації: Російська
Stuc. intelekt. 2016; 21; (2):86-94
Анотація: In the article the method of forming the term set of "Image Size" and "Image resolution" linguistic variables is considered. The procedure of building and approximation of these linguistic variables membership functions and expert estimation of subjective image characteristics to determine the boundaries of the resolution and image size fuzzy estimates is described. This approach allows formalizing the procedure of digital originals classification by the resolution and size.
Ключові слова: fuzzy estimation, linguistic variables, digital images, size, resolution
Посилання:
- Chebotareva I.B. Avtomatizatsiya obrabotki izobrazheniy v otkryityih poligraficheskih sistemah / I.B. Chebotareva, N.E. Kulishova, P.N. Maslov, V.A.Maslova // Tez. dokl. III Mezhdunarod. nauch.-praktich. konf. «Informatsionnyie sistemyi i tehnologii». – 2014. – S. 230-231.
- Kulishova N.E. Etapyi razrabotki avtomatizirovannoy sistemyi dopechatnoy podgotovki izobrazheniy / N.E. Kulishova, I.B. Chebotareva, Kulishov M.A. // Tez. dokl. II Mezhdunarod. nauch.-praktich. konf. «Informatsionnyie sistemyi i tehnologii». – 2013. – S. 146-147.
- Monich Yu.I. Otsenki kachestva dlya analiza tsifrovyih izobrazheniy / Yu. I. Monich, V. V. Starovoytov // Iskusstvennyiy intellekt. – 2008. – №4. – S. 376-386.
- You, J., Reiter, U., Hannuksela, M.M., Gabbouj, M., Perkis, A.: Perceptual-based quality assessment for audio-visual services: a survey. Signal Process. Image Commun. 25(7), 482–501 (2010).
- Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004).
- H. R. Sheikh, A. C. Bovik. Image Information and Visual Quality. IEEE Trans. Image Process. 15(2), 430–444 (2006).
- Chebotareva I.B. Ispolzovanie nechetkih otsenok dlya klassifikatsii iskazheniy tsifrovyih originalov / I.B. Chebotareva, N. E. Kulishova // Tez. dokl. XXIII Mezhdunarod. nauch.-praktich. konf. Informatsionnyie tehnologii: nauka, tehnika, tehnologiya, obrazovanie, zdorove». – 2015. – ch. IV. – S.253.
- Zade L.A. Ponyatie lingvisticheskoy peremennoy i ego primenenie k prinyatiyu priblizhennyih resheniy. M: Mir, 1976. – 165 s.
- Altunin A.E., Semuhin M.V. Modeli i algoritmyi prinyatiya resheniy v nechetkih usloviyah: Monografiya. Tyumen: Izdatelstvo Tyumenskogo gosudarstvennogo universiteta, 2000. – 352 s.
- Shtovba S.D., Vvedenie v teoriyu nechetkih mnozhestv i nechetkuyu logiku [Elektr. resurs]. – Rezhim dostupa: http://matlab.exponenta.ru/fuzzylogic/book1/index.php
- Borisov A.N., Krumberg O.A., Fedorov I.P. Prinyatie resheniy na osnove nechetkih modeley : Primeryi ispolzovaniya. – Riga : Zinatne, 1990. – 184 s.
- Raskin L.G., Seraya O.V. Nechetkaya matematika. Osnovyi teorii. Prilozheniya. – H.: Parus, 2008. – 352 s. Formirovanie nechetkoy otsenki svetlotyi tsifrovyih originalov / I.B. Chebotareva, N.E. Kulishova // Bionika intellekta: nauch.-tehn. zhurnal. – 2015. – № 1(84). – S. 85-90.
- Chebotareva I.B. Ispolzovanie metoda «Delfi» dlya ekspertnogo opredeleniya granits nechetkih otsenok // Informatika, matematicheskoe modelirovanie, ekonomika: Cbornik nauchnyih statey po itogam 5-y Mezhdunarodnoy nauchno-prakticheskoy konferentsii. – 2015. – T.1. – S.216-223.
- Leonenkov A.V. Nechetkoe modelirovanie v srede MATLAB. – SPb.: BHV Peterburr, 2005. – 736 s.