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http://dx.doi.org/10.17661/jkiiect.2020.13.6.568

Improvement of Power Consumption of Canny Edge Detection Using Reduction in Number of Calculations at Square Root  

Hong, Seokhee (Department of Electronics, Myongji University)
Lee, Juseong (Department of Electronics,Osan University)
An, Ho-Myoung (Department of Electronics,Osan University)
Koo, Jihun (Department of Smart IT, Osan University)
Kim, Byuncheul (Department of Electronic Engineering, Gyeongnam National University of Science and Technology)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.13, no.6, 2020 , pp. 568-574 More about this Journal
Abstract
In this paper, we propose a method to reduce the square root computation having high computation complexity in Canny edge detection algorithm using image processing. The proposed method is to reduce the number of operation calculating gradient magnitude using pixel's continuity using make a specific pattern instead of square root computation in gradient magnitude calculating operation. Using various test images and changing number of hole pixels, we can check for calculate match rate about 97% for one hole, and 94%, 90%, 88% when the number of hole is increased and measure decreasing computation time about 0.2ms for one hole, and 0.398ms, 0.6ms, 0.8ms when the number of hole is increased. Through this method, we expect to implement low power embedded vision system through high accuracy and a reduced operation number using two-hole pixels.
Keywords
Canny edge detection; computation reuse; embedded vision; low computational complexity; low power image processing;
Citations & Related Records
Times Cited By KSCI : 10  (Citation Analysis)
연도 인용수 순위
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