Detection and Isolation of Interior Defects Based on Image Processing and Neural Networks: HDPE Pipeline Case Study-Reference-Cited by-同舟云学术

Detection and Isolation of Interior Defects Based on Image Processing and Neural Networks: HDPE Pipeline Case Study

Published:2018-05 Issue:2 Volume:9 Page:05018001
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Safari Shiva¹,Aliyari Shoorehdeli Mahdi²

Affiliation:

1. Graduate Student, Mechatronics Dept., Faculty of Electrical Engineering, Fault Identification Laboratory, K. N. Toosi Univ. of Technology, Seyed-Khandan Bridge, Shariati Ave., P.O. Box 16315-1355, 163171419 Tehran, Iran.

2. Assistant Professor, Mechatronics Dept., Faculty of Electrical Engineering, Fault Identification Laboratory, K. N. Toosi Univ. of Technology, Seyed-Khandan Bridge, Shariati Ave., P.O. Box 16315-1355, 163171419 Tehran, Iran (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29PS.1949-1204.0000311

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4. Bhangale T. Desai U. B. and Shama U. (2000). “An unsupervised scheme for detection of microcalcifications on mammograms.” Proc. Int. Conf. on Image Processing Vol. 1 IEEE New York 184–187.

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