Title :
Comparison analysis on present image-based crack detection methods in concrete structures
Author :
Wang, Pingrang ; Huang, Hongwei
Author_Institution :
Dept. of Geotechnical Eng., Tongji Univ., Shanghai, China
Abstract :
Crack detection is of particular crucial for safety and cost-effective maintenance of concrete structures. Many image-based detection methods have been highly proposed for their automation, objectivity and efficiency. However there are many difficulties in image-based crack detection for various reasons. In this paper, the present image-based crack detection methods are summarized and subdivided into four categories: integrated algorithm, morphological approach, percolation-based method, and practical technique. Experiment results and comparison analysis on the four categories of methods are presented.
Keywords :
crack detection; image processing; structural engineering computing; concrete structure; image-based crack detection method; integrated algorithm; morphological approach; percolation-based method; Algorithm design and analysis; Automation; Concrete; Image segmentation; Noise; Pixel; Shape; comparison analysis; crack detection; methods categorization;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5647496