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http://dx.doi.org/10.6109/jkiice.2020.24.1.91

Design and Implementation of Image Detection System Using Vertical Histogram-Based Shadow Removal Algorithm  

Jang, Young-Hwan (Dept. of IT Convergence Engineering, Gachon University)
Lee, Jae-Chul (Dept. of Mobile Software, Gachon University)
Park, Seok-Cheon (Communications Policy Research Center, Yonsei University)
Lee, Bong-Gyou (Graduate School of Information, Yonsei University)
Lee, Sang-Soon (Dept. of Computer Engineering, Gachon University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.1, 2020 , pp. 91-99 More about this Journal
Abstract
For the shadow removal technology that is the base technology of the image detection system, real-time image processing has a problem that the processing speed is reduced due to the calculation complexity and it is also sensitive to illumination or light because shadows are removed only by the difference in brightness. Therefore, in this paper, we improved real-time performance by reducing the calculation complexity through the removal of the weighting part in order to solve the problem of the conventional system. In addition, we designed and evaluated an image detection system based on a shadow removal algorithm that could improve the shadow recognition rate using a vertical histogram. The evaluation results confirmed that the average speed increased by approximately 5.6ms and the detection rate improved by approximately 5.5%p compared to the conventional image detection system.
Keywords
Vertical Histogram; Shadow Remove; Image Detection System; Object Detection; Object Recognition;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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