Abstract
Segmentation is one of the most difficult tasks in image processing, particularly in the case of noisy or low contrast images such as radiographic images of welds. In the present study we have segmented defects in radiographic images of weld. The method applied for detecting and discriminating discontinuities in the radiographic weld images. Two Dimensional Left Median Filter (2D-LMF) has been used for enhancing the images. We compared the performance of this method with Mean Shift. Results exhibited the applied method was more effective than Mean Shift in noisy and low contrasted radiographic images of weld.KeywordsSegmentationRadiographic ImageWeld defectMean shift
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.
