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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17424
Title: GLCM and ANN based Approach for Classification of Radiographics Weld Images
Authors: Kumar J.
Srivastava S.P.
Anand, Radhey Shyam
Arvind P.
Bhardwaj S.
Thakur A.
Published in: Proceedings of 2018 13th International Conference on Industrial and Information Systems, ICIIS 2018
Abstract: The process of welding involves welding defects. Welded material should be inspected accurately in order to ensure the quality of the design and operation. Non - Destructive Inspection is one of the important aspects which is responsible for identifying the flaw defect. An attempt has been made in the present work to accurately identify and classify the weld defects. A database of 79 images with 08 defects have been collected from Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee. The image database has been pre-processed and the features have been extracted by GLCM and feed to Artificial neural network for classification. Both 08 and 64 level features have been extracted by GLCM and fed to neural network. The features have been fed to both Feed Forward and Cascade Forward neural network for classification. Even though the quality of image database is not good, classification accuracy of 88.6% is obtained. © 2018 IEEE.
Citation: Proceedings of 2018 13th International Conference on Industrial and Information Systems, ICIIS 2018, (2018), 168- 172
URI: https://doi.org/10.1109/ICIINFS.2018.8721421
http://repository.iitr.ac.in/handle/123456789/17424
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: artificial neural network
GLCM
GLCM
image classification
non - destructive inspection
radiographic weld images
ISBN: 9.78154E+12
Author Scopus IDs: 57210529896
7403307033
56363331000
57195939419
57209287731
57217461875
Author Affiliations: Kumar, J., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Srivastava, S.P., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Anand, R.S., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Arvind, P., Department of Electrical Electronics Engineering, Dr. Akhilesh das Gupta Institute of Technology and Management, New Delhi, India
Bhardwaj, S., Department of Mechanical Engineering, Dr. Akhilesh das Gupta Institute of Technology and Management, New Delhi, India
Thakur, A., Department of Mechanical Engineering, Dr. Akhilesh das Gupta Institute of Technology and Management, New Delhi, India
Appears in Collections:Conference Publications [EE]

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