[1]
B. Dhanasekar and B. Ramamoorthy, Evaluation of Surface Roughness Using a Image Processing and Machine Vision System, Journal Metrology Society of India, Vol. 21, No. 1, 2006, pp, 9-15.
Google Scholar
[2]
Kah W. Ng and Kee S. Moon, Measurement of 3-D Tool Wear Based on Focus Error and Micro-Coordinate Measuring System, Decision and Control, 1998. Proceedings of the 37th IEEE Conference, Volume: 3.
Google Scholar
[3]
Jenn-Yih Chen, Bean-Yin Lee, Kuang-Chyi Lee, Zhao-Kai Chen, Development and Implementation of a Simplified Tool Measuring System, Measurement Science Review, Volume 10, No. 4, 2010, pp, 142-146.
DOI: 10.1109/icetc.2010.5529636
Google Scholar
[4]
F. L. Laksmana, L. J. Van Vliet, P. J. A. Hartman Kok, H. Vromans, H.W. Frijlink, and K. Van der Voort Maarschalk, Quantitative Image Analysis for Evaluating the Coating Thickness and Pore Distribution in Coated Small Particles, Pharmaceutical Research, Vol. 26, No. 4, April 2009, pp, 965-976.
DOI: 10.1007/s11095-008-9805-y
Google Scholar
[5]
Shinichiro Inoue, Masami Konishi and Jun Imai , Surface Defect Inspection of a Cutting Tool by Image Processing with Neural Networks, Memoirs of the Faculty of Engineering, Okayama University, Vol. 43, January 2009, pp.55-60.
Google Scholar
[6]
Enrique Alegrea, Rocío Alaiz-Rodrígueza, Joaquín Barreirob and Jonatan Ruiza, Use of contour signatures and classification methods to optimize the tool life in metal machining, Estonian Journal of Engineering, 2009, Vol. 15, No. 1, pp, 3–12.
DOI: 10.3176/eng.2009.1.01
Google Scholar
[7]
Yu-Teng Liang, Yih-Chih Chiou, An Effective Drilling Wear Measurement based on Visual Inspection Technique, Proceedings of the Joint Conference on Information Sciences, (2006).
DOI: 10.2991/jcis.2006.267
Google Scholar
[8]
D. A. Fadare, A. O. Oni, Development and Application of a Machine Vision System for Measurement of Tool Wear, ARPN Journal of Engineering and Applied Sciences, Vol. 4, June 2009, ISSN 1819-6608, pp, 42-49.
Google Scholar
[9]
Woong-Ki Kim, Young-Woo Lee, and Sung-Woong Ra, Simulation of the Digital Image Processing Algorithm for the Coating Thickness Automatic Measurement of the TRISO-coated Fuel Particle, International Journal of Information Processing Systems Vol. 1, No. 1, 2005, pp, 36-40.
DOI: 10.3745/jips.2005.1.1.036
Google Scholar
[10]
John C Russ, The Image Processing handbook, Sixth edition, CRC Press, ISBN-13: 978-1- 4398-4063-4.
Google Scholar
[11]
Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins, Digital Image Processing, Second Edition, Gatesmark Publishing, ISBN 978-0-9820854-0-0.
Google Scholar
[12]
G. M. Atiqur Rahaman, Md. Mobarak Hossain, Automatic Defect Detection and Classification Technique From Image: A Special Case Using Ceramic Tiles, International Journal of Computer Science and Information Security, Vol. 1, No. 1, May (2009).
Google Scholar
[13]
Nello Zuech, Understanding and applying machine vision, 2nd ed., (Manufacturing Engineering and materials processing) Rev. ed. of: Applying machine vision, c1988. ISBN 0-8247-8929-6.
Google Scholar
