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Detection of Flaws in Weldment Images Using Region Growing Segmentation Technique


Affiliations
1 Department of Electrical Engineering, Indian Institute of Technology, Roorkee, India
2 Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, India
     

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This paper presents an efficient detection method to highlight the flaws present in weld images. The obtained results further help in finding the size and location o f the flaw. The method is applied on X-ray images having flaws generated during the welding process. Using region-growing method we merge the adjacent detected pixels on homogeneity criteria, to obtain the flaws. Region growing starts with seed(s). The seed value is determined with the help of histogram analysis. The peaks and valleys o f histogram help in determining the seed value.

The developed algorithm is explained and applied on the welding images and some preliminary results are shown which are encouraging.


Keywords

Segmentation, Region Growing, Flaw Detection, Seed, Homogeneity.
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Abstract Views: 292

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  • Detection of Flaws in Weldment Images Using Region Growing Segmentation Technique

Abstract Views: 292  |  PDF Views: 6

Authors

Alaknanda
Department of Electrical Engineering, Indian Institute of Technology, Roorkee, India
R. S. Anand
Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, India

Abstract


This paper presents an efficient detection method to highlight the flaws present in weld images. The obtained results further help in finding the size and location o f the flaw. The method is applied on X-ray images having flaws generated during the welding process. Using region-growing method we merge the adjacent detected pixels on homogeneity criteria, to obtain the flaws. Region growing starts with seed(s). The seed value is determined with the help of histogram analysis. The peaks and valleys o f histogram help in determining the seed value.

The developed algorithm is explained and applied on the welding images and some preliminary results are shown which are encouraging.


Keywords


Segmentation, Region Growing, Flaw Detection, Seed, Homogeneity.