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http://dx.doi.org/10.6109/jkiice.2015.19.5.1221

A Study on Edge Detection using Modified Histogram Equalization  

Lee, Chang-Young (Dept. of Control and Instrumentation Eng., Pukyong National University)
Kim, Nam-Ho (Dept. of Control and Instrumentation Eng., Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.5, 2015 , pp. 1221-1227 More about this Journal
Abstract
Edge detection is one of the important technologies to simplify images in the text, lane and object recognition implementation process, and various studies are actively carried out at home and abroad. Existing edge detection methods include a method to detect edge by applying directional gradient masks in spatial space, and a mathematical morphology-based edge detection method. These existing detection methods show insufficient edge detection results in excessively dark or bright images. In this regard, to complement these drawbacks, we proposed an algorithm using the Sobel and histogram equalization among the existing methods.
Keywords
Edge Detection; Algorithm; Histogram Equalization; Sobel; Image;
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