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All-Weather Moving Target Detection by Retinex Algorithm Based on HSV Space Conversion
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Ka CHEN1, Junjie HUANG2, Jiaqi BAO2, Yaguang QIN3
Mining and Metallurgical Engineering | 2023, 43(5) : 17 - 21
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Mining and Metallurgical Engineering | 2023, 43(5): 17-21
• MINING •
All-Weather Moving Target Detection by Retinex Algorithm Based on HSV Space Conversion
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Ka CHEN1, Junjie HUANG2, Jiaqi BAO2, Yaguang QIN3
Affiliations
  • 1.Guangxi Zhongjin Lingnan Mining Co Ltd, Laibin 546100, Guangxi, China
  • 2.School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, Hubei, China
  • 3.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
Published: 2023-10-01 doi: 10.3969/j.issn.0253-6099.2023.05.004
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An all-weather moving target detection method by using Retinex algorithm based on HSV color space conversion was proposed for complex situation in a mine, which changed the detection of moving target to the detection of special marker on the moving target, and extracted the original grey image of the target by color space conversion. The histogram of grey distribution was used to judge whether to restore the low-illumination image. And special markers were selected in the scene, and the original image was converted to HSV color space. Then, the corresponding ROI region was selected, and the binary image was obtained based on the threshold value. After smoothing of the data, the Canny operator was used to extract contour information, thus characteristic parameters of the marker was extracted. The practice proves that the characteristic parameters of the markers can be accurately obtained by this method, which can thus solve the problem of connector falling off from mechanical equipment under complex situation. It is shown that this method is of certain practical significance in engineering application.

moving target detection  /  image detection algorithm  /  HSV color space  /  marker detection  /  video images  /  image enhancement  /  edge detection
Ka CHEN, Junjie HUANG, Jiaqi BAO, Yaguang QIN. All-Weather Moving Target Detection by Retinex Algorithm Based on HSV Space Conversion[J]. Mining and Metallurgical Engineering, 2023 , 43 (5) : 17 -21 . DOI: 10.3969/j.issn.0253-6099.2023.05.004
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Article Info
doi: 10.3969/j.issn.0253-6099.2023.05.004
  • Receive Date：2023-04-03
  • Online Date：2026-03-05
  • Published：2023-10-01
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  • Received：2023-04-03
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Affiliations
    1.Guangxi Zhongjin Lingnan Mining Co Ltd, Laibin 546100, Guangxi, China
    2.School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430200, Hubei, China
    3.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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