Abstract
Abstract The present paper presents a method for weld location extraction in radiographic images. Images are processed line by line by applying fuzzy reasoning based on local pixel characteristics. For each pixel, values of spatial contrast and spatial variance are computed for evaluating the edge fuzzy membership value. The method proposed uses the machine learning approach for knowledge acquisition, which automatically generates fuzzy rules by learning from examples. Using this method, all welds are successfully extracted from 101 radiographic images taken from aluminium alloy welding parts.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
