Outline algorithms for images with fuzzy background information 1Tavboyev Sirojiddin Akbutayevich, 2Qarshiboyev Nizomiiddin Abdumalikovch

References:

1. 
   Atanassov K.T. Intuitionistic Fuzzy Sets: Theory and Applications. Studies in Fuzziness and Soft Computing.Physica -Verlag, Heidelberg, 1999.
   
2. 
   Atanassov K.T. and Gargov G. Interval valued intuitionistic fuzzy sets. Fuzzy Sets Syst., vol. 31, pp. 343–349, 1989.
   
3. 
   Burillo P. and Bustince H. Construction theorems for intuitionistic fuzzy sets. Fuzzy Sets Syst., vol. 84, pp. 271–281, 1996.
   
4. 
   Zadeh. L. A. Fuzzy sets // Information and Control.1965. № 8. - pp. 338-353.
   
5. 
   Kaufmann A. Introduction to the Theory of Fuzzy Subsets Fundamentals Theoretical Elements, Vol. 1. AcademicPress, NewYork, 1975.
   
6. 
   Bezdek L.C.Pattern Recognition with fuzzy Objective Function Algorithm. New York, 1981.
   
7. 
   Pavlidis T. Algarithms for computer graphics and image processing, McCrow-Hell Book Compaty, New York, 2001.
   
8. 
   Cheung K., ChanW. Fuzzy One –Mean Algorithm for Edge Detection // IEEE Inter. Conf. On Fuzzy Systems, 1995, - pp.2039- 2044.
   
9. 
   KuoY., LeeC., LiuC. A New Fuzzy Edge Detection Method for image Enhancement // IEEE Inter. Conf. on Fuzzy Systems, 1997, pp. 1069-1074.
   
10. 
    El-KhamyS., El-YamanyN., LotfyM. A Modified Fuzzy Sobel Edge Detector// Seventeenth National Radio Science Conference (NRSC'2000), February 22-24, Minufia, Egypt, 2000.
    
11. 
    Russo, F. and Ramponi, G. (1994). Edge extraction by FIRE operators // Proc. IEEE Int. Conf. on Fuzzy Syst., IEEE Press, Piscataway, NJ, 249-253.
    
12. 
    BezdekJ. C., Chandrasekar R. and AttikiouzelY.A. (1998a). A geometric approach to edge detection // IEEE Trans. Fuzzy Syst., 6(1), 52-75.
    
13. 
    Law, T., Itoh, H. and Seki, H. (1996). Image filtering, edge detection and edge tracing using fuzzy reasoning // IEEE Trans. Pattern Analysis and Machine Intelligence, 18, 481-491.
    
14. 
    ZhaoM., Fua.M.N., Yan H.A. Technique of ThreeLevelThresholding Based on Probability Partition a Fuzzy 3Partition // IEEE Trans. on Fuzzy Systems, vol.9, no.3, June 2001, pp. 469- 479.
    
15. 
    Bloch I. Fuzzy sets in image processing // ACM Symposium on Allied Computing, 1994.
    
16. 
    Russo F., Ramponi G.Edge extraction by FIRE operators // Proc. of the 3rd IEEE Conference on Fuzzy Systems, 1994, 249-253.
    
17. 
    MahaniM.N.,Moqadam M.K., PourH.N., BahrololoomA. Dynamic Edge Detector Using Fuzzy Logic // CSISS' 2008, Sharif University of Technology, Kish, 2008.
    
18. 
    LiangL., LooneyC.Competitive Fuzzy Edge Detection / Applied Soft Computing, (3), 2003, pp. 123-137.
    

Hoppner et al. Fuzzy Cluster Analysis. Methods for Classification, Data Analysis and Image Recognition / F. Hoppner, F. Klawonn, R. Kruse, T. Runkler. – New York: Wiley, 2000.