A New Approach for Edge Detection: Application to Gray Images

G. Wiselin Jiji*, L. Ganesan**
* Head of the Departmentof Computer Science & Engineering, Dr.SivanthiAditanar College of Engineering, Tiruchendur.
** Head of the Department of Computer Science & Engineering, A. C. College of Engineering & Technology, Karaikudi.
Periodicity:May - July'2008
DOI : https://doi.org/10.26634/jfet.3.4.605

Abstract

Textures are replications, symmetries and combinations of various basic patterns, usually with some random variation one of the gray-level statistics. Detecting of object boundaries is an important step to analyze of an image. The main objective is to locate prominent edges in an image.  In the proposed scheme, fuzzy concept is used. Here the texture number is reduced to 2030 in Base5 fuzzy schemes. By combining the traditional edge detection techniques with proposed texture measure can solve this problem. Promising results are obtained when locating texture boundaries of some of the Brain images and texture images and it shows a good method of extracting information that is crucial to a successful intensity based edge detection for detecting texture edges of texture images.

Keywords

Edge, Fuzzy Texture Unit, Fuzzy Texture Spectrum.

How to Cite this Article?

G. Wiselin Jiji and L. Ganesan (2008). A New Approach for Edge Detection: Application to Gray Images. i-manager’s Journal on Future Engineering and Technology, 3(4), 40-45. https://doi.org/10.26634/jfet.3.4.605

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