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Reseach Article

An Automated Tiles Defect Detection

by V. Mohan, S. Suresh Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 11
Year of Publication: 2015
Authors: V. Mohan, S. Suresh Kumar
10.5120/19234-0993

V. Mohan, S. Suresh Kumar . An Automated Tiles Defect Detection. International Journal of Computer Applications. 109, 11 ( January 2015), 24-27. DOI=10.5120/19234-0993

@article{ 10.5120/19234-0993,
author = { V. Mohan, S. Suresh Kumar },
title = { An Automated Tiles Defect Detection },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 11 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number11/19234-0993/ },
doi = { 10.5120/19234-0993 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:44:32.565347+05:30
%A V. Mohan
%A S. Suresh Kumar
%T An Automated Tiles Defect Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 11
%P 24-27
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It presents an automatic defect identification system for detecting crack of titles from captured digital images based on defect classification and segmentation. Image classification will be used for automated visual inspection to classify defect and protects from quality one. It will be performed through textures analysis and probabilistic neural network. The textures are extracted using wavelet filters with cooccurrence features. The defect detection process involves the preprocessing, segmentation and morphological filtering to make processing system more flexible with accuracy.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Wavelet decomposition Cooccurrence features extraction PNN(Probabilistic Neural Network with Radial basis Function) Segmentation and MATlab.