A method for segmentation radiographic images with case study on welding defects

AzariMoghaddam, A. and Lalitha Rangarajan (2013) A method for segmentation radiographic images with case study on welding defects. Lecture Notes in Electrical Engineering, 222 LN (2). pp. 277-283.

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Official URL: http://doi.org/10.1007/978-81-322-1000-9_26

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.

Item Type: Article
Uncontrolled Keywords: Defects, Image segmentation, Low contrast image, Mean shift, Radiographic images, Weld defects, Weld image, Welding defects, Welds
Subjects: D Physical Science > Computer Science
Divisions: Department of > Computer Science
Depositing User: Arshiya Kousar
Date Deposited: 11 Sep 2019 06:32
Last Modified: 11 Sep 2019 06:32
URI: http://eprints.uni-mysore.ac.in/id/eprint/7829

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