With the increasing troubles of indecision, imprecision and ambiguity during the modeling of various control
system, the fuzzy logic plays the vital role in it. This paper presents a detailed description of simulation of sobel edge
detection using fuzzy logic, which clears that fuzzy logic is an different way to represent linguistic and subjective attributes
of the real world. In order to improve the efficiency and simplicity of the design process, fuzzy logic can be applied to
simulation of sobel edge detection using MATLAB. This paper is based on sobel edge detection using, which is a simulation
modelling .This proves that fuzzy logic do a fairly good job than other controlling systems.
Published In:IJCSN Journal Volume 6, Issue 3
Date of Publication : June 2017
Pages : 310-312
Tables : --
Mohd Iqbal Sheikh : Research scholar department of computer science,
Mewar university chottorgrah.
Dr. Rafiq Ahmad Khan : Department of computer science,
Mewar university chottorgrah.
fuzzy logic, simulation, sobel
The various operation performed on the image can be
applied for various applications like Image filtering,
medical imaging, image compression, computer vision, etc.
Some of the most common operations on an image that
comes under image processing which are Image scaling,
image rotation, filtering, edge detection, color. This paper
presents a detailed description of fuzzy logic which clears
that fuzzy logic is an alternative way to represent linguistic
and subjective attributes of the real world. In order to
improve the efficiency and simplicity of the design process,
fuzzy logic can be applied to various applications. The
various applications of fuzzy logic which is simulated using
the MATLAB prove that fuzzy logic systems do a fairly
good job than other controlling systems.
 Fuzzy Logic Toolbox, for use with MATLAB, “The Math
Works”, user’s guide, version 2.
 Kiran Pal, Surendra Tyagi, “Selection of Candidate by
Political Parties Using Fuzzy Logic”, International
Conference of Advance Research and Innovation (ICARI-
 Fuzzy logic, https://en.m.wikipedia.org/wiki/Fuzzy_logic
zy_set_operations No.1, 2015.
 “A Classified and Comparative Study of EdgeDetection
Algorithms” by Mohsen Sharifi,Mahmoud Fathy, Maryam
Tayefeh Mahmoudi Department of Computer
Engineering, Iran University of Science and Technology.
Proceedings of the International Conference on
Information Technology: Coding and Computing
(ITCC.02) 2002 IEEE
 “A Simple and Efficient Edge Detection Algorithm”
Guangyu Luan and Rensheng Che Department of
Automatic Measurement and Control Harbin Institute of
Technology, Harbin, China. 2008 International
Symposium onComputer Science and Computational
 “An efficient architecture for hardware implementations of
image processingalgorithms” Farzad Khalvati and Hamid
R.Tizhoosh Department of Systems DesignEngineering
University of Waterloo, Waterloo,Ontario, Canada. 2009
 Rafael C. Gonzalez and Richard E. Woods, Digital Image
Processing. 3nd. ed. New Jersey: Pearson Prentice Hall.
 The MathWorks, Simulink-Model-Based and System-Base
Design. The MathWorks, September
2003. Writing S-Functions—Version 5.
 Raman Maini, Dr. Himanshu Aggarwal, ?Study and
Comparison of Various Image Edge Detection
Techniques?, International Journal of Image Processing
(IJIP), Volume (3)
 Zhang Jin-Yu; Chen Yan; Huang Xian-Xiang, ?Edge
detection of images based on improved Sobel operator and
genetic algorithms?, International conference on Image
Analysis and Signal Processing, pp. 31 – 35, 2009.
All rights reserverd @ IJCSN International Journal www.IJCSN.org