A Comparison of various Edge Detection Techniques used in Image Processing
In this paper the important problems are taken in this
paper is to understand the fundamental concepts of
various filters and apply these filters in identifying a
shark fish type which is taken as a case study. In this the
edge detection techniques are taken for consideration.
The software is implemented using MATLAB. The
main two operators in image processing are Gradient
and Laplacian operators. The case study is taken for
observation of Shark Fish Classification through Image
Processing using the various filters which are mainly
gradient based Roberts, Sobel and Prewitt edge
detection operators, Laplacian based edge detector and
Canny edge detector. The advantages and disadvantages
of these filters are comprehensively dealt in this study
Keywords: Canny, Laplacian, Prewitt, Robert, Sobel
Download Full-Text
ABOUT THE AUTHORS
G.T. Shrivakshan
Computer Science, Swami Vivekananda Arts & Science college, Villupuram,Tamilnadu, India
C. Chandrasekar
Computer Science, Associate Professor, Periyar University Salem, Tamilnadu, India
G.T. Shrivakshan
Computer Science, Swami Vivekananda Arts & Science college, Villupuram,Tamilnadu, India
C. Chandrasekar
Computer Science, Associate Professor, Periyar University Salem, Tamilnadu, India
