DEVELOPMENT OF A MANUAL CRACK QUANTIFICATION AND AUTOMATED CRACK MEASUREMENT SYSTEM

The objective of this research was to (1) develop a manual image analysis system (MIAS), (2) verify outputs provided by a consultant, and (3) develop an automated image analysis system (AIAS). The MIAS was designed in consultation with Iowa Department of Transportation personnel. It allows them to process digital images interactively through a computer screen in the most efficient manner. For each image, the manually processed data are stored automatically in the database to verify the outputs provided by the consultant. A total of 1,585 images from the consultant were processed using the MIAS. A robust tile-based automated crack imaging software package was developed, which can compute unified crack index and crack type index. First, the image is overlaid with a tile of predetermined dimensions, such as 6 in. x 6 in. of a pavement surface. To improve the accuracy of the automated crack imaging procedure, a variable optimum threshold level was then applied for classifying a tile as cracked or not. Using 10 sample images, the AIAS result was compared against the one produced by MIAS resulting in 3.4% precision and -3.4% bias.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 21 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00989325
  • Record Type: Publication
  • Report/Paper Numbers: Project TR-457,, Final Report
  • Files: NTL, TRIS, STATEDOT
  • Created Date: Apr 29 2005 12:00AM