##plugins.themes.academic_pro.article.main##

Abstract

The article considers the development of algorithms and software for solving the problem of image quality assessment by fuzzy logic methods, the selection of object contours in the image and its segmentation using the fuzzy sets apparatus The selection of the contours of an object in the image and its segmentation using the fuzzy sets apparatus.

Keywords

digital image processing fuzzy set fuzzy rules image quality improvement

##plugins.themes.academic_pro.article.details##

How to Cite
Tavboyev Sirojiddin Akhbutayevich, Mamaraimov Abror Kamoliddin ugli, & Karshibaev Nizomiddin Abdumalikovich. (2022). Algorithms for Selecting the Contour Lines of Images Based on the Theory of Fuzzy Sets. Texas Journal of Engineering and Technology, 15, 31–40. Retrieved from https://zienjournals.com/index.php/tjet/article/view/2998

References

  1. Gonzales R., Wood R. Digital image processing. – M.: Technosphere, 2005. – 1072 p.
  2. Belim S.V., Kutlunin P.E. Selection of contours in images using the clustering algorithm // Computer optics. – Samara, 2015. - № 39(1). - Pp. 119-124.
  3. Mirzoev N. Model of formation of features of objects presented in the form of images // Dynamics of systems, mechanisms and machines, Omsk, 2016. – Volume 4. – No. 1. – pp. 150-154.
  4. Marufova, Z. (2021). EXPRESSION OF ORIENTAL BEAUTY THROUGH ZONYMS. Theoretical & Applied Science, (7), 13-16.
  5. Хидиров, Х. Н. (2019). Philosophical Analysis of the Role of the Media in Shaping Civic Culture in Uzbekistan. Молодой ученый, (15), 322-324.
  6. Хидиров, Х. Н. (2017). Moral personality education in the philosophy of existentialism of Karl Jaspers. Молодой учёный, 30, 95.
  7. Yane B. Digital image processing. - M.: Technosphere, 2007. – 584 p.
  8. Visilter Yu.V., Zheltov S.Yu., Bondarenko A.V. and others. Image processing and analysis in machine vision problems. -M.: Fizmatkniga, 2010. -672 p.
  9. Burger W., Burge M. J. Digital Image Processing: An Algorithmic Introduction using Java. –New York: Springer, 2008. –564 p.
  10. Marr, D., andHildreth, E.C., “Theory of edge detection”, Proc. of the Royal Society of London, b207, 1980, 187- 217.
  11. Canny, J.F., “A computational approach to edge detection”, IEEE Trans. on Pattern Analysis and Machine Intelligence, 8(6), 1986, 679-698.
  12. Hou, T. H. andKuo, W.L., 1997. “A New Edge Detection method for Automatic Visual Inspection”, International Journal of Advanced Manufacturing Technology, 1997. Springer-Verlag London Limited.
  13. Jiang, X. and Bunke, H. 1998. “Edge Detection in Range Images based on Scan Line Approximation”, Computer Vision and Image Understanding ,Vol. 73, No. 2, February, pp. 183– 199,1999 Article ID cviu.1998.0715, available online at http://www.idealibrary.com.
  14. Caragea S. 2008. Fondater, Administrator and Chief Editor, IntelliProject, “Difference Edge Detection“, Licensed under IntelliProject open License, Romania, http://www.intelliproject.net.
  15. Axbutayevich T. S., Abdumalikovich Q. N. IMAGE CONTOUR SEPARATION ALGORITHMS BASED ON THE THEORY OF FUZZY SETS //International Journal of Contemporary Scientific and Technical Research. – 2022. – С. 120-125.
  16. Tavboyev S., Eshbekova S. ALGORITHMS FOR PROCESSING DIGITAL IMAGES FUZZY SETS THEORY //Интернаука. – 2021. – №. 22-4. – С. 22-25.
  17. Genming, C. and Bouzong, Y., 1989. “A New Edge Detector with Thinning and Noise resisting Abilities” , Journal of Electronics, China, Volume 6, No. 4, 314-319, DOI: 10.10071BF02778914.
  18. Zadeh . L.A. Fuzzy sets // Information and Control.1965. № 8. - pp. 338-353.
  19. Kaufmann A. Introduction to the Theory of Fuzzy Subsets Fundamentals Theoretical Elements, Vol. 1. AcademicPress, NewYork, 1975.
  20. Bezdek L.C.Pattern Recognition with fuzzy Objective Function Algorithm.– New York, 1981
  21. KuoY., LeeC., LiuC. A New Fuzzy Edge Detection Method for image Enhancement // IEEE Inter. Conf. on Fuzzy Systems, 1997, pp. 1069-1074.
  22. El-Khamy S., El-Yamany N., Lotfy M. A Modified Fuzzy Sobel Edge Detector// Seventeenth National Radio Science Conference (NRSC'2000), February 22-24, Minufia, Egypt, 2000.