Efficient Algorithm for Crack Detection in Sewer Images from Closed-Circuit Television Inspections-Reference-Cited by-同舟云学术

Efficient Algorithm for Crack Detection in Sewer Images from Closed-Circuit Television Inspections

Published:2014-06 Issue:2 Volume:20 Page:04013014
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Halfawy Mahmoud R.¹,Hengmeechai Jantira²

Affiliation:

1. President and CEO, Infrastructure Data Solutions, 2 Research Dr., Suite 150-E, Regina, SK, Canada S4S 7H9; formerly, Senior Research Officer and Group Leader, Centre for Sustainable Infrastructure Research, National Research Council of Canada, 3737 Wascana Parkway, Regina, SK, Canada S4S 0A2 (corresponding author).

2. Senior Software Engineer, Infrastructure Data Solutions, 2 Research Dr., Suite 150-E, Regina, SK, Canada S4S 7H9; formerly, Technical Officer, Centre for Sustainable Infrastructure Research, National Research Council of Canada, 3737 Wascana Parkway, Regina, SK, Canada S4S 0A2.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29IS.1943-555X.0000161

Reference44 articles.

1. Analysis of Edge-Detection Techniques for Crack Identification in Bridges

2. Generalizing the Hough transform to detect arbitrary shapes

3. Canadian Standards Association (CSA). (2010). Technical guide-PLUS 4012: Visual inspection of sewer pipe Canadian Standards Association Toronto ON Canada.

4. A Computational Approach to Edge Detection

5. Neuro-Fuzzy Approaches for Sanitary Sewer Pipeline Condition Assessment

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