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Identification of Metallurgical Surface Finish Images-In Manufacturing Process using Fuzzy Classifier

by Shailendra M. Mukane, Feiroz F. Shaikh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 21
Year of Publication: 2013
Authors: Shailendra M. Mukane, Feiroz F. Shaikh
10.5120/13044-0122

Shailendra M. Mukane, Feiroz F. Shaikh . Identification of Metallurgical Surface Finish Images-In Manufacturing Process using Fuzzy Classifier. International Journal of Computer Applications. 74, 21 ( July 2013), 36-40. DOI=10.5120/13044-0122

@article{ 10.5120/13044-0122,
author = { Shailendra M. Mukane, Feiroz F. Shaikh },
title = { Identification of Metallurgical Surface Finish Images-In Manufacturing Process using Fuzzy Classifier },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 21 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number21/13044-0122/ },
doi = { 10.5120/13044-0122 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:56.193720+05:30
%A Shailendra M. Mukane
%A Feiroz F. Shaikh
%T Identification of Metallurgical Surface Finish Images-In Manufacturing Process using Fuzzy Classifier
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 21
%P 36-40
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Surface metrology with image processing is a challenging task having wide application in the industry. Analysis of surface finish can be done using image processing. The proposed system aims at identifying three classes of surface finish images, viz. Casting, Milling and shaping. The system proposes an effective combination of features for analysis of the engineering surfaces. The prototype system developed for classification of surface finish images using Discrete Wavelet Transform (DWT) and Fuzzy Logic classifier. The feature extracted using DWT are Standard Deviation and Mean. The system out performs the earlier methods and gives 92. 78% of average success rate for only 72 number of features. The system is also analysed by different wavelet filters for maximum success rate and minimum success rate comparison.

References
  1. Hon-Son Don, King-Sun Fu, C. R. Liu and Wei-Chung Lin, "Metal Surface Inspection Using Image Processing Techniques", IEEE Transactions of System, Man and Cybernetics, Vol. SMC-14, No. 1 January 1984. .
  2. R. T. Chin and C. A. Harlow, "Automated Visual Inspection : A Survey", IEEE Transactions of Pattern Analysis Machine Intelligence, Vol. 4, pp. 557-573,November 1982.
  3. G. A. Al-Kindi, R. M. Baul, K. F. Gill. . An application of machine vision in the automated inspection of engineering surfaces, International Journal of Production Research 30(2): 241-253, 1992.
  4. F. Luk, V. Hyunh, and W. North. 1989. Measurement of surface roughness by a machine vision system, Journal of Physics E Scientific Instruments 22: 977-980, 1989.
  5. Irem Y. Tumer, R. S. Srinivasan, Kristin L. Wood, " characteristic measure for the Representation of Manufactured surface Quality", ASME design Engineering Technology Conference and Design for Manufacturing Conference, Irvine, California, August (18-22) 1996.
  6. S. Livens, P. Scheunders, G. Van de Wouwer, D. Van Dyck, "Wavelets for Texture Analysis", University of Antwerp, Belgium, 30th June 1997.
  7. Wong, B. K. , Elliott,M. P. and Rapley, C. W. Automatic casting surface defect recognition and classification. In IEEE Colloquium on Application of Machine Vision , pp. 10/1–10/5, 1995.
  8. V. Niola, G. Nasti and G. Quaremba. A problem of emphasizing features of a surface roughness by means the Discrete Wavelet Transform. 13th International conference on achievements in Mechanical and Material Engineering. 16th -19th May 2005
  9. W. Zeng, X. Jiang, and P. Scott, "Metrological characteristics of dualtree complex wavelet transform for surface analysis," Meas. Sci. Technol. , 16, pp. 1410-1417, 2005.
  10. Smriti H. Bhandari, S. M. Deshpande, "Feature Extraction for Surface Classification –An approach with wavelets",International journal of Computer and Information Science and Engineering, 2007.
  11. R. O. Duda, P. E. Hart, D. G. Stork, Pattern Classification, John Wiley and Sons, Second Edition, 2006.
  12. E. Avci, An expert system based on Wavelet Neural Network-Adaptive Norm Entropy for scale invariant texture classification, Experts Systems with Applications, , vol. 32, pp. 919-926, Elsevier, 2007.
  13. I. Turkoglu and E. Avci, Comparison of wavelet-SVM and Wavelet-adaptive network based fuzzy inference system for texture classification, Digital Signal Processing, Vol. 18, pp. 15-24, Elsevier, 2008.
  14. S. M. Mukane, D. S. Bormane, and S. R. Gengaje, "On Size Invariance Texture Image Retrieval using Fuzzy Logic and Wavelet based Features", International Journal of Applied Engineering Research, 6(6), pp. 1297-1310, 2011.
  15. M. Kokare, P. K. Biswas, and B. N. Chatterji, Rotation-invariant texture image retrieval using rotated complex wavelet filters, IEEE Trans. on Systems, Man, and Cybernetics-Part B: Cybernetics, Vol. 36, No. 6, 1273-1282, 2006.
  16. P. M. Pawar and R. Ganguli, Genetic fuzzy system for damage detection in beams and helicopter rotor blades,Computer methods in applied mechanics and engineering,Vol. 192, 2031-2057, Elsevier 2003.
Index Terms

Computer Science
Information Sciences

Keywords

Image processing Discrete Wavelet Transform Wavelet Statistical features fuzzy classifier

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