Morphological geodesic active contour algorithm for the segmentation of the histogram‐equalized welding bead image edges

Author:

Mlyahilu John N.1ORCID,Mlyahilu Joseph N.1,Lee Jae Eun1,Kim Young Bong1,Kim Jong Nam1

Affiliation:

1. Department of IT Convergence and Application Engineering Pukyong National University Busan Korea

Funder

National Research Foundation of Korea

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference23 articles.

1. A comparative study on the effect of welding parameters of austenitic stainless steels using artificial neural network and Taguchi approaches with ANOVA analysis;Kurt H.I.;Metals,2018

2. Interactive Segmentation Techniques Algorithms and Performance Evaluation;He J.;SpringerBriefs in Signal Processing),2013

3. Weld segmentation for diagnostic and evaluation method;Haffner O.;Cybernetics & Informatics, Levoca, Slovakia,2016

4. Mahmoudi A. Regragui F.:Welding defect detection by segmentation of radiographic images. In:WRI World Congress on Computer Science and Information Engineering Los Angeles CA pp.111–115(2009)

5. Interactive Segmentation Techniques Algorithms and Performance Evaluation;He J.;SpringerBriefs in Signal Processing),2013

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