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http://dx.doi.org/10.7746/jkros.2019.14.4.301

Real-time Reflection Light Detection Algorithm using Pixel Clustering Data  

Hwang, Dokyung (Pusan National University)
An, Jongwoo (Pusan National University)
Kang, Hosun (Pusan National University)
Lee, Jangmyung (Electrical Engineering, Pusan National University)
Publication Information
The Journal of Korea Robotics Society / v.14, no.4, 2019 , pp. 301-310 More about this Journal
Abstract
A new algorithm has been propose to detect the reflected light region as disturbances in a real-time vision system. There have been several attempts to detect existing reflected light region. The conventional mathematical approach requires a lot of complex processes so that it is not suitable for a real-time vision system. On the other hand, when a simple detection process has been applied, the reflected light region can not be detected accurately. Therefore, in order to detect reflected light region for a real-time vision system, the detection process requires a new algorithm that is as simple and accurate as possible. In order to extract the reflected light, the proposed algorithm has been adopted several filter equations and clustering processes in the HSI (Hue Saturation Intensity) color space. Also the proposed algorithm used the pre-defined reflected light data generated through the clustering processes to make the algorithm simple. To demonstrate the effectiveness of the proposed algorithm, several images with the reflected region have been used and the reflected regions are detected successfully.
Keywords
Reflected Light Region Identification; HSI; Pixel Analysis; Clustering; Pre-define Data;
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Times Cited By KSCI : 2  (Citation Analysis)
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