A novel vision sensor for longitudinal tear detection of conveyor belt
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摘要: 针对现有输送带纵向撕裂视觉检测存在采集图像不清晰的问题，提出了一种基于红外与可见光图像融合的新型视觉传感器。该视觉传感器采用分光棱镜将从同一镜头入射的同轴光分别投射至红外CCD和可见光CCD，红外CCD和可见光CCD同时采集目标同一点的红外图像和可见光图像，利用像素级融合方法获得融合图像。实验结果表明，该视觉传感器所采集的融合图像具有清晰的撕裂信息和详细的背景信息，满足输送带图像高质量采集的要求。Abstract: In view of problem of unclear image of existing longitudinal tear detection of conveyor belt, a novel vision sensor based on infrared and visible image fusion was proposed. In the proposed sensor, coaxial light from the same lens is projected to infrared CCD and visible CCD respectively by use of beam splitter prism. Then, infrared image and visible image are collected by the infrared CCD and the visible CCD respectively at the same time. Finally, fusion image is obtained by use of pixel-level fusion method. The experimental results show that the fusion image collected by the proposed sensor can meet requirement of high-quality collection of conveyor belt image with clear tear information and detailed background information.
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Keywords:
- conveyor belt /
- longitudinal tear /
- vision sensor /
- infrared image /
- visible image /
- image fusio
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期刊类型引用(3)
1. 熊念强，文锋，李清，陈磊，周冉. 带式输送机胶带撕裂检测技术综述. 煤炭工程. 2022(07): 79-85 . 
百度学术
2. 熊辉，周冉，陈磊. 基于机器视觉的输送带撕裂在线检测系统研究. 煤炭工程. 2022(11): 182-186 . 百度学术
3. 甘福宝，黄友锐，韩涛，徐善永. 基于狮群优化二维Otsu算法的输送带撕裂检测方法. 工矿自动化. 2019(10): 55-60+79 . 本站查看
其他类型引用(6)
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