Loading…
Comparative Study of Diverse Techniques for Flaw Segmentation in TOFD Images of Austenitic Stainless Steel Weld
Grain structure of Austenitic Stainless Steel (ASS) weld causes difficulty in defect detection while inspecting using Time of Flight Diffraction (TOFD) method. This study aims at comparing segmentation methods to overcome this difficulty based on defect characterization. This study makes use of TOFD...
Saved in:
Published in: | Indian journal of science and technology 2015-11, Vol.8 (30), p.1-1 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c2482-f7d14097269a205ad9bbf0c9d4869334cc901ca4b3611de8899c46050146e51d3 |
---|---|
cites | |
container_end_page | 1 |
container_issue | 30 |
container_start_page | 1 |
container_title | Indian journal of science and technology |
container_volume | 8 |
creator | Theresa Cenate, C. F. Sheela Rani, B. Sangeetha, D. N. Venkatraman, B. |
description | Grain structure of Austenitic Stainless Steel (ASS) weld causes difficulty in defect detection while inspecting using Time of Flight Diffraction (TOFD) method. This study aims at comparing segmentation methods to overcome this difficulty based on defect characterization. This study makes use of TOFD and Radiographic images of ASS weld pads fabricated with defined linear and volumetric defects. The Region-Based Level Set algorithm and Discontinuity Based Segmentation algorithm were explored for achieving flaw segmentation and quantitative characterization and validation of the result with that of standard radiographic results. The efficiency of the algorithms was analyzed by comparing and validating the size of defect with that of standard radiographic results in the form of error percentage. The consistency of error percentage in defect sizing achieved by Region-Based Level Set algorithm for all the test images given in the database indicate that, this algorithm is the best as compared to Discontinuity Based Segmentation algorithm for defect segmentation and characterization in TOFD images. |
doi_str_mv | 10.17485/ijst/2015/v8i1/78322 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1786210557</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1786210557</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2482-f7d14097269a205ad9bbf0c9d4869334cc901ca4b3611de8899c46050146e51d3</originalsourceid><addsrcrecordid>eNotkM1qwzAQhE1poaHNIxR07MW1JEuydAxJ0wYCOSSlR6HI61TBtlLLTsnbV_nZy-7CzDB8SfJC8BspmOSZ24c-o5jw7CgdyQqZU3qXjLAqWMoF4_e3W0gmHpNxCHscJ6cSF3iU-KlvDqYzvTsCWvdDeUK-QrP4dQHQBuxP634HCKjyHZrX5g-tYddA20eHb5Fr0WY1n6FFY3ZRFK2TIfTQut7ZGGdcW0MI8QKo0TfU5XPyUJk6wPi2n5Kv-ftm-pkuVx-L6WSZWsokTauiJCzWpkIZirkp1XZbYatKJoXKc2atwsQats0FISVIqZRlAnNMmABOyvwpeb3mHjp_7t_rxgULdW1a8EPQpJCCEsx5EaX8KrWdD6GDSh8615jupAnWF8b6zFifGeszY31hnP8DbOZxCg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1786210557</pqid></control><display><type>article</type><title>Comparative Study of Diverse Techniques for Flaw Segmentation in TOFD Images of Austenitic Stainless Steel Weld</title><source>Freely Accessible Science Journals</source><creator>Theresa Cenate, C. F. ; Sheela Rani, B. ; Sangeetha, D. N. ; Venkatraman, B.</creator><creatorcontrib>Theresa Cenate, C. F. ; Sheela Rani, B. ; Sangeetha, D. N. ; Venkatraman, B.</creatorcontrib><description>Grain structure of Austenitic Stainless Steel (ASS) weld causes difficulty in defect detection while inspecting using Time of Flight Diffraction (TOFD) method. This study aims at comparing segmentation methods to overcome this difficulty based on defect characterization. This study makes use of TOFD and Radiographic images of ASS weld pads fabricated with defined linear and volumetric defects. The Region-Based Level Set algorithm and Discontinuity Based Segmentation algorithm were explored for achieving flaw segmentation and quantitative characterization and validation of the result with that of standard radiographic results. The efficiency of the algorithms was analyzed by comparing and validating the size of defect with that of standard radiographic results in the form of error percentage. The consistency of error percentage in defect sizing achieved by Region-Based Level Set algorithm for all the test images given in the database indicate that, this algorithm is the best as compared to Discontinuity Based Segmentation algorithm for defect segmentation and characterization in TOFD images.</description><identifier>ISSN: 0974-6846</identifier><identifier>EISSN: 0974-5645</identifier><identifier>DOI: 10.17485/ijst/2015/v8i1/78322</identifier><language>eng</language><subject>Algorithms ; Austenitic stainless steels ; Crystal defects ; Discontinuity ; Segmentation ; TOFD ; Welded joints</subject><ispartof>Indian journal of science and technology, 2015-11, Vol.8 (30), p.1-1</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2482-f7d14097269a205ad9bbf0c9d4869334cc901ca4b3611de8899c46050146e51d3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Theresa Cenate, C. F.</creatorcontrib><creatorcontrib>Sheela Rani, B.</creatorcontrib><creatorcontrib>Sangeetha, D. N.</creatorcontrib><creatorcontrib>Venkatraman, B.</creatorcontrib><title>Comparative Study of Diverse Techniques for Flaw Segmentation in TOFD Images of Austenitic Stainless Steel Weld</title><title>Indian journal of science and technology</title><description>Grain structure of Austenitic Stainless Steel (ASS) weld causes difficulty in defect detection while inspecting using Time of Flight Diffraction (TOFD) method. This study aims at comparing segmentation methods to overcome this difficulty based on defect characterization. This study makes use of TOFD and Radiographic images of ASS weld pads fabricated with defined linear and volumetric defects. The Region-Based Level Set algorithm and Discontinuity Based Segmentation algorithm were explored for achieving flaw segmentation and quantitative characterization and validation of the result with that of standard radiographic results. The efficiency of the algorithms was analyzed by comparing and validating the size of defect with that of standard radiographic results in the form of error percentage. The consistency of error percentage in defect sizing achieved by Region-Based Level Set algorithm for all the test images given in the database indicate that, this algorithm is the best as compared to Discontinuity Based Segmentation algorithm for defect segmentation and characterization in TOFD images.</description><subject>Algorithms</subject><subject>Austenitic stainless steels</subject><subject>Crystal defects</subject><subject>Discontinuity</subject><subject>Segmentation</subject><subject>TOFD</subject><subject>Welded joints</subject><issn>0974-6846</issn><issn>0974-5645</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNotkM1qwzAQhE1poaHNIxR07MW1JEuydAxJ0wYCOSSlR6HI61TBtlLLTsnbV_nZy-7CzDB8SfJC8BspmOSZ24c-o5jw7CgdyQqZU3qXjLAqWMoF4_e3W0gmHpNxCHscJ6cSF3iU-KlvDqYzvTsCWvdDeUK-QrP4dQHQBuxP634HCKjyHZrX5g-tYddA20eHb5Fr0WY1n6FFY3ZRFK2TIfTQut7ZGGdcW0MI8QKo0TfU5XPyUJk6wPi2n5Kv-ftm-pkuVx-L6WSZWsokTauiJCzWpkIZirkp1XZbYatKJoXKc2atwsQats0FISVIqZRlAnNMmABOyvwpeb3mHjp_7t_rxgULdW1a8EPQpJCCEsx5EaX8KrWdD6GDSh8615jupAnWF8b6zFifGeszY31hnP8DbOZxCg</recordid><startdate>20151127</startdate><enddate>20151127</enddate><creator>Theresa Cenate, C. F.</creator><creator>Sheela Rani, B.</creator><creator>Sangeetha, D. N.</creator><creator>Venkatraman, B.</creator><scope>AAYXX</scope><scope>CITATION</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope></search><sort><creationdate>20151127</creationdate><title>Comparative Study of Diverse Techniques for Flaw Segmentation in TOFD Images of Austenitic Stainless Steel Weld</title><author>Theresa Cenate, C. F. ; Sheela Rani, B. ; Sangeetha, D. N. ; Venkatraman, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2482-f7d14097269a205ad9bbf0c9d4869334cc901ca4b3611de8899c46050146e51d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Algorithms</topic><topic>Austenitic stainless steels</topic><topic>Crystal defects</topic><topic>Discontinuity</topic><topic>Segmentation</topic><topic>TOFD</topic><topic>Welded joints</topic><toplevel>online_resources</toplevel><creatorcontrib>Theresa Cenate, C. F.</creatorcontrib><creatorcontrib>Sheela Rani, B.</creatorcontrib><creatorcontrib>Sangeetha, D. N.</creatorcontrib><creatorcontrib>Venkatraman, B.</creatorcontrib><collection>CrossRef</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Indian journal of science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Theresa Cenate, C. F.</au><au>Sheela Rani, B.</au><au>Sangeetha, D. N.</au><au>Venkatraman, B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparative Study of Diverse Techniques for Flaw Segmentation in TOFD Images of Austenitic Stainless Steel Weld</atitle><jtitle>Indian journal of science and technology</jtitle><date>2015-11-27</date><risdate>2015</risdate><volume>8</volume><issue>30</issue><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>0974-6846</issn><eissn>0974-5645</eissn><abstract>Grain structure of Austenitic Stainless Steel (ASS) weld causes difficulty in defect detection while inspecting using Time of Flight Diffraction (TOFD) method. This study aims at comparing segmentation methods to overcome this difficulty based on defect characterization. This study makes use of TOFD and Radiographic images of ASS weld pads fabricated with defined linear and volumetric defects. The Region-Based Level Set algorithm and Discontinuity Based Segmentation algorithm were explored for achieving flaw segmentation and quantitative characterization and validation of the result with that of standard radiographic results. The efficiency of the algorithms was analyzed by comparing and validating the size of defect with that of standard radiographic results in the form of error percentage. The consistency of error percentage in defect sizing achieved by Region-Based Level Set algorithm for all the test images given in the database indicate that, this algorithm is the best as compared to Discontinuity Based Segmentation algorithm for defect segmentation and characterization in TOFD images.</abstract><doi>10.17485/ijst/2015/v8i1/78322</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0974-6846 |
ispartof | Indian journal of science and technology, 2015-11, Vol.8 (30), p.1-1 |
issn | 0974-6846 0974-5645 |
language | eng |
recordid | cdi_proquest_miscellaneous_1786210557 |
source | Freely Accessible Science Journals |
subjects | Algorithms Austenitic stainless steels Crystal defects Discontinuity Segmentation TOFD Welded joints |
title | Comparative Study of Diverse Techniques for Flaw Segmentation in TOFD Images of Austenitic Stainless Steel Weld |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T16%3A07%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comparative%20Study%20of%20Diverse%20Techniques%20for%20Flaw%20Segmentation%20in%20TOFD%20Images%20of%20Austenitic%20Stainless%20Steel%20Weld&rft.jtitle=Indian%20journal%20of%20science%20and%20technology&rft.au=Theresa%20Cenate,%20C.%20F.&rft.date=2015-11-27&rft.volume=8&rft.issue=30&rft.spage=1&rft.epage=1&rft.pages=1-1&rft.issn=0974-6846&rft.eissn=0974-5645&rft_id=info:doi/10.17485/ijst/2015/v8i1/78322&rft_dat=%3Cproquest_cross%3E1786210557%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2482-f7d14097269a205ad9bbf0c9d4869334cc901ca4b3611de8899c46050146e51d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1786210557&rft_id=info:pmid/&rfr_iscdi=true |