Journal Published Online: 30 August 2016
Volume 45, Issue 4

An Effective Preprocessor of Edge Detection for Distorted Images



Edge detection is an intuitive strategy to figure out an object in digital images. Nevertheless, if an image is spread with noise such as ultrasonic noise, scanner noise, or camera noise, general edge detectors cannot perform effectively. In this paper, a preprocessor was provided to handle this issue. For each pixel in a speckle image, the preprocessor first determined whether it was noise or not. It then checked if it was located on an edge. According to the information, the preprocessor can define different weighted coefficients to equalize each pixel. After that, we can perform an edge detection mechanism on the processed image to draw the edge map. Experimental results showed that the preprocessor is able to effectively improve the performance of edge detection mechanism in speckle images.

Author Information

Lee, J.-S.
Department of Information Engineering and Computer Science, Feng Chia Univ., Taichung, Taiwan, CN
Pages: 15
Price: $25.00
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Stock #: JTE20160015
ISSN: 0090-3973
DOI: 10.1520/JTE20160015