A Method for Segmentation Radiographic Images with Case Study on Welding Defects

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 222)

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.

Keywords

Segmentation Radiographic Image Weld defect Mean shift 

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Copyright information

© Springer India 2013

Authors and Affiliations

  1. 1.Department of Study in Computer ScienceUniversity of MysoreMysoreIndia

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