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http://dx.doi.org/10.7837/kosomes.2022.28.6.1054

A Study on the Improvement of Color Detection Performance of Unmanned Salt Collection Vehicles Using an Image Processing Algorithm  

Kim, Seon-Deok (Division of Maritime Engineering, Mokpo National Maritime University)
Ahn, Byong-Won (Division of Maritime Engineering, Mokpo National Maritime University)
Park, Kyung-Min (Division of Coast Guard, Mokpo National Maritime University)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.28, no.6, 2022 , pp. 1054-1062 More about this Journal
Abstract
The population of Korea's solar salt-producing regions is rapidly aging, resulting in a decrease in the number of productive workers. In solar salt production, salt collection is the most labor-intensive operation because existing salt collection vehicles require human operators. Therefore, we intend to develop an unmanned solar salt collection vehicle to reduce manpower requirements. The unmanned solar salt collection vehicle is designed to identify the salt collection status and location in the salt plate via color detection, the color detection performance is a crucial consideration. Therefore, an image processing algorithm was developed to improve color detection performance. The algorithm generates an around-view image by using resizing, rotation, and perspective transformation of the input image, set the RoI to transform only the corresponding area to the HSV color model, and detects the color area through an AND operation. The detected color area was expanded and noise removed using morphological operations, and the area of the detection region was calculated using contour and image moment. The calculated area is compared with the set area to determine the location case of the collection vehicle within the salt plate. The performance was evaluated by comparing the calculated area of the final detected color to which the algorithm was applied and the area of the detected color in each step of the algorithm. It was confirmed that the color detection performance is improved by at least 25-99% for salt detection, at least 44-68% for red color, and an average of 7% for blue and an average of 15% for green. The proposed approach is well-suited to the operation of unmanned solar salt collection vehicles.
Keywords
Image processing; Morphological operation; HSV color model; Color detection; Solar salt;
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Times Cited By KSCI : 3  (Citation Analysis)
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