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:
  Database Management Systems Databases Data Files Highway Maintenance Image Analysis Machine Vision Maintenance Maintenance Facilities Pavement Maintenance Pavement Maintenance Image Analysis
• 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.
  
  
• Format:
  PDF
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha-512:63caa81054d135b7fa57d064a5a70d5765190f07d9fef7da4a83d9d57ce7fdbf64d6a907aadbe50c028a6933ddda5fd67a92515b6b73cf33e78569a67d379090
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/24577/dot_24577_DS1.pdf
• File Type:
  [PDF - 309.78 KB ]