Paper
6 May 1993 System integration of road-crack evaluation system
Satoshi Abe, Toshio Abe, Hisao Sato, Taizo Okano, Koki Sengoku
Author Affiliations +
Proceedings Volume 1907, Machine Vision Applications in Industrial Inspection; (1993) https://doi.org/10.1117/12.144821
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States
Abstract
Evaluation of cracks on the surface of the road is an essential work for public organizations that are in charge of maintenance of roads. Currently, men view the photographs of the road to evaluate the cracks of the road surface. The work requires much man-power: high skill and careful examination. So far, several efforts have been made to realize automatic evaluation system of the cracks. Many of them are however in the experimental stage because of the amount of image data. Our system is developed as a practical system for the actual use of the road crack evaluation. Our system has the following advantages: (1) Real-time image processing hardware. Road image is at most 1,000-feet long. It is difficult to handle with tall that amount of image on even today's workstations. A special real-time image processor reduces image data into 1/200 without losing an essential crack information. (2) Good human interface. We design the human interface carefully to achieve a truly easy-to-use system. (3) Efficiency. This system reduced the man power dramatically. This paper presents a general structure of the system, overview of the algorithms to detect and evaluate cracks, and discuss system integration including human interface issues.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Satoshi Abe, Toshio Abe, Hisao Sato, Taizo Okano, and Koki Sengoku "System integration of road-crack evaluation system", Proc. SPIE 1907, Machine Vision Applications in Industrial Inspection, (6 May 1993); https://doi.org/10.1117/12.144821
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Cited by 5 scholarly publications.
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KEYWORDS
Roads

Image processing

Scanners

Image compression

Inspection

Machine vision

Photography

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