Machine vision system for automatic inspection of surface defects in aluminum die casting Frayman, Yakov, Zheng, Hong and Nahavandi, Saeid 2006, Machine vision system for automatic inspection of surface defects in aluminum die casting, Journal of advanced computational intelligence and intelligent informatics, vol. 10, no. 3, pp. 281-286, doi: 10.20965/jaciii.2006.p0281. Attached Files Name Description MIMEType Size Downloads Title Machine vision system for automatic inspection of surface defects in aluminum die casting Author(s) Frayman, Yakov Zheng, Hong Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Journal name Journal of advanced computational intelligence and intelligent informatics Volume number 10 Issue number 3 Start page 281 End page 286 Publisher Fuji Technology Press Ltd Place of publication Tokyo, Japan Publication date 2006 ISSN 1343-0130 Keyword(s) aluminum die casting automatic vision inspection genetic algorithms surface defect recognition Language eng DOI 10.20965/jaciii.2006.p0281 Indigenous content off Field of Research 080104 Computer Vision Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30004038 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Engineering and Information Technology Open Access Collection Related Links Link Description Link to full-text (open access)     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 01 Dec 2008, 14:42:35 EST Tue, 31 Aug 2010, 12:10:23 EST Thu, 16 Feb 2012, 13:09:09 EST Fri, 17 Oct 2014, 08:29:41 EST Fri, 31 Jan 2020, 11:26:46 EST Tue, 10 Mar 2020, 08:47:28 EST Wed, 30 Sep 2020, 15:20:04 EST Filtered Full Citation counts:   Cited 10 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 1778 Abstract Views, 5 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 09:10:19 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.