Applications of Fuzzy Logic in Image Processing – A Brief Study


  • Prasanna KM Vivekananda College of Engineering and Technology, Puttur
  • Rai C Shantharama Canara Engineering College, Mangalore


Fuzzy Logic, Image Processing, Fuzzy Image Processing, Fuzzy Inference System


The subject of this study is to show the application of fuzzy logic in image processing with a brief introduction to fuzzy logic and digital image processing. Digital image processing is an ever expanding and dynamic area with applications reaching out into our everyday life such as medicine, space exploration, surveillance, authentication, automated industry inspection and many more areas. Fuzzy logic, one of the decision-making techniques of artificial intelligence, has many application areas. Although it has been subjected to criticisms since its birth, especially in recent years, fuzzy logic has been proven to be applicable in almost all scientific fields. This shows that the concept of fuzzy logic will maintain its validity and the number of fields where it draws attention will increase further.


K. Mahesh Prasanna, C. Shantharama Rai, “Image Processing Algorithms – A Comprehensive Study”, IJACR (International Journal of Advanced Computer Research), ISSN (print): 2249-7277 ISSN (online): 2277-7970, Volume-4, Number-2, Issue-15, June-2014, pp 532-539.

K. Mahesh Prasanna, and C. Shantharama Rai, “Fuzzy Logic – A Comprehensive Study”, IJAFRC (International Journal of Advance Foundation & Research in Computer), ISSN: 2348-4853, Volume-1, Issue-10, October-2014, pp 10-15.

Rafael C. Gonzalez and Richard E. Woods: “Digital Image Processing”, Third edition, 1990.

I. Kalaykov, B. Iliev, et. al.: “DSP-based Fast Fuzzy Logic Controllers”.

Abhradita Deepak Borkar, MithileshAtulkar: “Fuzzy Inference System for Image Processing”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 2, Issue 3, March 2013.

Abdallah A. Alshennawy, and Ayman A. Aly: “Edge Detection in Digital ImagesUsing Fuzzy Logic Technique”, International Journal of Electrical and Computer Engineering 4:7 2009.

Vertan,C., Boujemaa,N., Buzuloiu,V., “ A Fuzzy Color Credibility Approach To Color Image Filtering” IEEE,Vol 31 No:4,2001,pp. 88-94

Naguchi,N., Reid,J.F.,Zhang,Q., Tian, L.F., “Vision İntelligence For Precision Farming Using fuzzy Logic Optimized Genetik Algorithm And Artificial Neural Network” An ASAE Meeting Presentation, Paper No: 983034,1998 ,pp 128-136

Coumou,D., Mathew,A., “A Fuzzy Logic Approach To Digital Image Watermarking” DESDes‟01 The International Workshop On Discrete-Event System Design, 2001,pp. 201-209

Peacook,A.M., Renshaw,D., Hannah,J., “ A Fuzzy Data Fusion Method For Improved Motion Estimation”, University of Edinburgh, 1996, pp.75-80

Köppen,M.,Nowack,G., “Fuzzy Subsethood Based Color Image Processing” Processings of the 1997 Midwest Artificial Intelligence and Cognitive Science Society Conference,1997

Köse,H., Akın, L., “ Object Recognition In Robot Football Using A One Dimensional Image” TAINN, pp.78-81,2001.




How to Cite

Prasanna K, M., & Rai C , S. (2024). Applications of Fuzzy Logic in Image Processing – A Brief Study. COMPUSOFT: An International Journal of Advanced Computer Technology, 4(03), 1555–1559. Retrieved from



Review Article

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.