| Detecting Technology of Cabel Surface Defect Based on DSP and Image Recognition |
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| 作者姓名： | GAO Chao REN Ke GUO Yong-cai YANG Hui |
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| 作者单位： | 1. Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400030, China ;2. Civil Aviation Flight University, Xinjin Sub-university, Chengdu 610000, China |
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| 摘 要： | The damage of bridge cable directly hazards the normal use of bridge and the safety of people. The paper discussed the signal acquisition and detection system which takes embedded DSP processor as core technology, combined with CCD, video decode chip, SDRAM, FLASH ROM, and established the fast measuring algorithm of the surface corrosion and damage, which includes deteminating the processing region, improving medium filter, sobel edge detection and dynamic threshold segment, close operation of morphology, computing defect area and saving. The experimental resuits show that this method implemented the real-time, non-contact and intelligence detecting of cable surface defect and gives the specifications of the system.
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| 关 键 词： | DSP image recognition bridge cable defect detecting |
| 修稿时间： | 2007/5/10 0:00:00 |
Detecting Technology of Cabel Surface Defect Based on DSP and Image Recognition |
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| GAO Chao,REN Ke,GUO Yong-cai,YANG Hui.Detecting Technology of Cabel Surface Defect Based on DSP and Image Recognition[J].Storage & Process,2007(9):36-38. |
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| Authors: | GAO Chao REN Ke GUO Yong-cai YANG Hui |
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| Institution: | 1. Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400030, China ;2. Civil Aviation Flight University, Xinjin Sub-university, Chengdu 610000, China |
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| Abstract: | The damage of bridge cable directly hazards the normal use of bridge and the safety of people. The paper discussed the signal acquisition and detection system which takes embedded DSP processor as core technology, combined with CCD, video decode chip, SDRAM, FLASH ROM, and established the fast measuring algorithm of the surface corrosion and damage, which includes deteminating the processing region, improving medium filter, sobel edge detection and dynamic threshold segment, close operation of morphology, computing defect area and saving. The experimental resuits show that this method implemented the real-time, non-contact and intelligence detecting of cable surface defect and gives the specifications of the system. |
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| Keywords: | DSP image recognition bridge cable defect detecting |
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