Application of Multiresolution Pattern Classification to Steel Bridge Coating Assessment

Author:

Chen Po-Han1,Chang Yuh-Chin2,Chang Luh-Maan3,Doerschuk Peter C.4

Affiliation:

1. Assistant Professor, School of Civil and Environmental Engineering, Nanyang Technological Univ., Singapore 639798.

2. PhD, School of Electrical and Computer Engineering, Purdue Univ., West Lafayette, IN 47907.

3. Associate Professor, Div. of Construction Engineering and Management, School of Civil Engineering, Purdue Univ., West Lafayette, IN 47907.

4. Associate Professor, School of Electrical and Computer Engineering, Purdue Univ., West Lafayette, IN 47907.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Reference18 articles.

1. Intelligent Model for Constructed Facilities Surface Assessment

2. Abraham D. Iseley T. Prasanth R. and Wirahadikusumah T. (1997). “Integrating sensing technologies for underground utilities assessment.” Infrastructure condition assessment: Art science and practice ASCE New York 316–325.

3. Burrill J. H. P. (1994). “Texture mapping of neurological magnetic resonance images.” 3rd Year Individual Project Dept. of Electrical and Electronic Engineering Imperial College of Science Technology and Medicine London 〈http://www.burrill.demon.co.uk/meddoc/tmnmri.html〉.

4. Chang L. M. AbdelRazig Y. and Chen P. H. (2000). “Optical imaging method for bridge painting maintenance and inspection.” FHWA/IN/JTRP-99/11 Joint Transportation Research Program Purdue Univ. West Lafayette Ind.

5. Chang Y. C. (2000). “Statistical models for MRF image restoration and segmentation.” PhD thesis Purdue Univ. West Lafayette Ind.

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