Image Processing–Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee Colony-Reference-Cited by-同舟云学术

Image Processing–Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee Colony

Published:2018-09 Issue:5 Volume:32 Page:04018037
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Hoang Nhat-Duc¹,Nguyen Quoc-Lam²,Tien Bui Dieu³

Affiliation:

1. Lecturer, Faculty of Civil Engineering, Institute of Research and Development, Duy Tan Univ., P809-03 Quang Trung, Danang 550000, Vietnam (corresponding author).

2. Lecturer, Faculty of Civil Engineering, Duy Tan Univ., P202-03 Quang Trung, Danang 550000, Vietnam.

3. Associate Professor, Geographic Information Science Research Group, Dept. of Business and Computer Science, Univ. College of Southeast Norway, Gullbringvegen 36, N-3800, Bø i Telemark, Norway; formerly, Geographic Information Science Research Group, Ton Duc Thang Univ., Ho Chi Minh City, Vietnam.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000781

Reference52 articles.

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3. Advances in Computer Graphics and Computer Vision

4. Buades A. B. Coll and J. M. Morel. 2005. “A non-local algorithm for image denoising.” In Vol. 62 of Proc. 2005 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR’05) 60–65. Piscataway NJ: IEEE.

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