A novel image database analysis system maintenance of transportation facility.

Details

• Creators:
  Makki, Kami ; Salari, Ezzatollah ; Chou, Eddie Yein Juin ; Lin, En-Bing
• Corporate Creators:
  Michigan Ohio University Transportation Center
• Corporate Contributors:
  University of Toledo. Dept. of Electrical Engineering & Computer Science ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; Michigan State Transportation Commission ; Michigan. Dept. of Transportation
• Subject/TRT Terms:
  • Image analysis
  • Machine vision
  • Databases
  • Database management systems
  • Data files
  • Maintenance facilities
  • Maintenance
  • Highway maintenance
  • Pavement maintenance Image analysis
  • Machine vision
  More +
• Publication/ Report Number:
  MIOH UTC TS18p1 2009-Final
• Resource Type:
  Tech Report
• Geographical Coverage:
  Ohio
• Edition:
  Final report.
• Corporate Publisher:
  Michigan Ohio University Transportation Center
• Abstract:
  The current project was funded by MIOH-UTC in the Spring of 2008 to investigate efficient ; maintenance methods for transportation facilities. To achieve the objectives of the project, the ; PIs undertook the research of various technologies of image analysis and storage. Therefore, ; initially a database was developed to store various information and images obtained from the ; regional roads. In this direction, a number of methods for storage of images were investigated ; and compared such as storage of images into database directly versus the storage of images ; into database after compression; or storage of the location of the images only in database. ; In another direction, the PIs investigated various imaging technologies for the identification ; of the state of various roads, since the demand for automated inspection, monitoring, and ; pattern recognition for transportation applications are ever increasing. This increasing ; demand is partly driven by the decreasing costs of software and hardware technologies which ; allow faster access to the required information for these applications. The structured storage ; provided by the use of modern database technologies provides proper mechanism to store a ; variety of information artifacts which can be merged from different perspectives for ; investigation. For example, combined image and textual information regarding different ; attributes of a typical inspection would identify accurately the region and the proper ; maintenance path. A typical inspection process, including pavement distress inspection, can ; be divided into three stages: preprocessing, segmentation, classification and measurements. ; Preprocessing is used to improve the quality of the input image in order to facilitate the ; analysis and interpretation at subsequent stages. Important tasks in preprocessing can ; include filtering for noise removal, deblurring the image, and the highlighting of specific ; features, e.g., cracks on the pavement. Image segmentation is the process of dividing an ; image into meaningful regions, such as objects of interest and background. ; This report looks at the imaging technologies to enhance the management of pavements. The ; main parameters of interest for pavement management are the pattern classification and ; measurement of various parameters of crack features. The first section explains the imaging ; technologies used for processing images. In section 2 the algorithm is explained and section 3 ; shows the simulation result and our progress in achieving the goals set in this project.
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• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/24577/dot_24577_DS1.pdf
• File Type:
  [PDF - 309.78 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:63caa81054d135b7fa57d064a5a70d5765190f07d9fef7da4a83d9d57ce7fdbf64d6a907aadbe50c028a6933ddda5fd67a92515b6b73cf33e78569a67d379090