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.
- Record URL:
- Record URL:
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Corporate Authors:
University of Iowa, Iowa City
Department of Civil and Environmental Engineering
Iowa City, IA United States 52242Iowa Department of Transportation
800 Lincoln Way
Ames, IA United States 50010 -
Authors:
- Lee, H
- Kim, J
- Publication Date: 2005-1
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 21 p.
Subject/Index Terms
- TRT Terms: Accuracy; Data storage; Image analysis; Pavement cracking; Precision; Software packages
- Subject Areas: Highways; Pavements; I23: Properties of Road Surfaces;
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