Automated detection of welding defects in radiographic images

Automated detection of welding defects in radiographic images

An automatic detection system to detect welding defects in radiographic images is presented. Two new segmentation algorithms, MEWT and MTFEGA are proposed. They can succeed in segmenting welding defects presented in radiography, contrary to conventional methods. A classification system based on the...

Full description

Saved in:
Bibliographic Details
Main Author: Wang, Xin
Other Authors: Wong, Brian Stephen
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/5265
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
id sg-ntu-dr.10356-5265
record_format dspace
spelling sg-ntu-dr.10356-52652023-03-11T17:43:04Z Automated detection of welding defects in radiographic images Wang, Xin Wong, Brian Stephen School of Mechanical and Aerospace Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision An automatic detection system to detect welding defects in radiographic images is presented. Two new segmentation algorithms, MEWT and MTFEGA are proposed. They can succeed in segmenting welding defects presented in radiography, contrary to conventional methods. A classification system based on the support vector machine is proposed to the defect recognition. DOCTOR OF PHILOSOPHY (MAE) 2008-09-17T10:46:39Z 2008-09-17T10:46:39Z 2007 2007 Thesis Wang, X. (2007). Automated detection of welding defects in radiographic images. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/5265 10.32657/10356/5265 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Wang, Xin
Automated detection of welding defects in radiographic images
description An automatic detection system to detect welding defects in radiographic images is presented. Two new segmentation algorithms, MEWT and MTFEGA are proposed. They can succeed in segmenting welding defects presented in radiography, contrary to conventional methods. A classification system based on the support vector machine is proposed to the defect recognition.
author2 Wong, Brian Stephen
author_facet Wong, Brian Stephen
Wang, Xin
format Theses and Dissertations
author Wang, Xin
author_sort Wang, Xin
title Automated detection of welding defects in radiographic images
title_short Automated detection of welding defects in radiographic images
title_full Automated detection of welding defects in radiographic images
title_fullStr Automated detection of welding defects in radiographic images
title_full_unstemmed Automated detection of welding defects in radiographic images
title_sort automated detection of welding defects in radiographic images
publishDate 2008
url https://hdl.handle.net/10356/5265
_version_ 1761781588719304704

Similar Items