TARIXIY TASVIRLARDAGI BUZILISHLARNI NORAVSHAN MANTIQ YORDAMIDA BARTARAF ETISH ALGORITMI VA USULINI TAKOMILLASHTIRISH
Keywords:
tarixiy qo‘lyozmalar, notekis fon, past kontrast, oldingi (asosiy) matn, noravshan mantiq.Abstract
San’at, me’morchilik, matematika, astronomiya, astrologiya, huquq, musiqa va tibbiyot kabi sohalarga oid, yuzlab yillar avval yozilgan va hozirgacha kutubxonalar hamda universitetlar tomonidan saqlanayotgan tarixiy hujjatlarning sifati jismoniy eskirganligi sababli past darajada bo'ladi. Qo‘lyozmalarning o‘qiluvchanligini yaxshilash va ulardagi qimmatli ma'lumotlarni saqlab qolish uchun raqamli tasvirni qayta ishlash usullaridan foydalanish zarur. Eskirish jarayonlari ko‘pincha tasvir yuzasida fon rangining notekis tarqalishiga hamda fonning qorayishiga olib keladi, bu esa matn bilan fon o‘rtasidagi kontrastni pasaytiradi. Bunday muammo qo‘lyozmalarni raqamli tasvirga aylantirish jarayonida ham yuzaga keladi. Taklif etilayotgan metodologiya, an’anaviy ishlab chiqarish usuli hamda vaqt o‘tishi bilan yuzaga kelgan buzilishlar natijasida fon notekisligi, kontrasti pastligi va konturlarning xiraligi kabi muammolarga ega bo'lgan tarixiy qo‘lyozmalarning sifatini noravshan mantiq metodlari asosida sezilarli darajada yaxshilashga qaratilgan.
Downloads
References
1. T. Law, H. Itoh, and H. Seki. Image filtering, edge detection, and edge tracing using fuzzy reasoning. Jurnal maqolasi // IEEE Trans. Pattern Anal. Machine Intell. – 1996. – Vol. 18. – pp. 481-491.
2. L. A. Zadeh. Fuzzy sets. Jurnal maqolasi // Inf. Control. – 1965. – Vol. 8. – pp. 338–35
3. F. Sattar, L. Floreby, G. Salomonsson, and B. Lövström. Image enhancement based on a nonlinear multiscale method. Jurnal maqolasi // IEEE Trans. Image Processing. – 1997. – Vol. 6. – pp. 888–895.
4. Kaur and R. Kaur. Enhancement of old manuscripts using fuzzy logic. Jurnal maqolasi // Int. J. Comput. Sci. Eng. Technol. – 201 – Vol. 4, no. 4. – pp. 509–515.
5. S. K. Pal and A. Pal. A review of image segmentation techniques. Jurnal maqolasi // Pattern Recognit. Lett. – 1984. – Vol. 2, no. 5. – pp. 317–32
6. B. Kosko. Fuzzy Engineering. Monografiya. – Englewood Cliffs, NJ: PrenticeHall, 1997.
7. Z. Chi. Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition. Monografiya. – London: Word Scientific, 1998.
8. R. C. Gonzalez and R. E. Woods. Digital Image Processing. Darslik // 3rd ed. – Upper Saddle River, NJ, USA: Prentice Hall, 2008.
9. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli. Image Quality Assessment: From Error Visibility to Structural Similarity. Jurnal maqolasi // IEEE Trans. Image Processing. – 2004. – Vol. 13, no. 4. – pp. 600-612.
10. N. Otsu. A threshold selection method from gray level histogram. Jurnal maqolasi // IEEE Trans. Syst., Man, Cybern. – 1979. – Vol. 9. – pp. 62–66.
11. P. S. Singh and D. K. Shukla. Artificial Intelligence, Blockchain, Computing and Security. Monografiya. – Volume 2. Boca Raton, FL, USA: CRC Press, 202
12. S. K. Pal and D. Dutta Majumder. Fuzzy Mathematical Approach to Pattern Recognition. Monografiya. – New York, NY, USA: Halsted Press, 1986.
13. B. Jahne. Digital Image Processing. Darslik // 6th ed. – New York, NY, USA: Springer, 2005.
14. A.Q. Ergashev, O. Kh. Turakulov, A. A. Abdumalikov, and O. A. Kayumov. Algorithms for highlighting the contours of images based on the theory of fuzzy sets. Konferensiya materiallari // Proc. 2022 Int. Conf. Inf. Sci. Commun. Technol. (ICISCT). – 2022.
15. R. Kh. Khamdamov et al.. Segmentation of colour image using fuzzy sets concept. Konferensiya materiallari // J. Phys.: Conf. Ser. – 2019. – Vol. 1333, no. 1, p. 032035.
16. M. A. Taleb and V. V. Starovoitov. Algorithm for color images segmentation by means of cluster analysis. Jurnal maqolasi // Digital image processing. – 2000. – Vol. 5. – pp. 107-116.
17. A.Leonenkov. Fuzzy modeling in the environment of MATLAB and fuzzy TECH. Monografiya. – St. Petersburg: BHV-Petersburg, 200
18. F. Hoppner, F. Klawonn, R. Kruse, and T. Runkler. Fuzzy Cluster Analysis. Methods for Classification, Data Analysis and Image Recognition. Monografiya. – New York: Wiley, 2000.
19. C. V. Negoita and D. A. Ralescu. Multimi vagi si aplicatiile lor. Monografiya. – Bucuresti: Editura Tehnica, 1974.
A.Yu. Grishentsev and A. G. Korobeynikov. Methods and Models of Digital Image Processing. Monografiya. – Saint-Petersburg: Polytechnic University, 2014.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
License Terms of our Journal
