Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31181
Straight Line Defect Detection with Feed Forward Neural Network

Authors: S. Liangwongsan, A. Oonsivilai


Nowadays, hard disk is one of the most popular storage components. In hard disk industry, the hard disk drive must pass various complex processes and tested systems. In each step, there are some failures. To reduce waste from these failures, we must find the root cause of those failures. Conventionall data analysis method is not effective enough to analyze the large capacity of data. In this paper, we proposed the Hough method for straight line detection that helps to detect straight line defect patterns that occurs in hard disk drive. The proposed method will help to increase more speed and accuracy in failure analysis.

Keywords: Media, Failure analysis, Hough transform, Hard Disk Drive

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1693


[1] Jack Bresenham. A linear algorithm for incremental digital display of circular arcs. Communications of the ACM February, Volume 20,Number 2, February 1977.
[2] Chester F. Carlson. Lecture 10: Hough circle transform. Rochester Institute of Technology: Lecture Notes, October 11, 2005.
[3] Rafael C. Gonzalez and Richard E. Woods. Digital Image Processing. Prentice Hall, 2007. ISBN 0-13-168728-x.
[4] Carolyn Kimme, Dana Ballard, and Jack Sklansky. Finding circles by an array of accumulators. Communication of the ACM, Volume 18, Number 2, February 1975.
[5] Bryan S. Morse. Lecture 15: Segmentation (edge based, hough transform). Brigham Young University: Lecture Notes, 2000.
[6] Shylaja S S,K N Balasubramanya Murthy, S Natarajan Nischith,Muthuraj R,Ajay S.Feed Forward Neuarl Network Base Eye Localization and Recognition Using Hough Transform. IJACSA Vol. 2,No.3,pp104-109, March 2011
[7] Ballard DH, “Generalizing the Hough transform to detect arbitrary shapes”, In the proceedings of Pattern Recognition, pp. 111–122, 1981.
[8] J. Illingworth and J. Kittler. “A survey of the Hough Transform”, In the proceedings of International Conference on Computer Vision, Graphics and Image Processing, pp. 87–116, 1988.
[9] JR Bergen and H Shvaytser, “A probabilistic algorithm for computing Hough Transforms”, In the Journal of Algorithms, pp.639–656, 1991.
[10] N Kiryati, Y Eldar, and AM Bruckstein, “A probabilistic Hough Transform”, In the proceedings of Pattern Recognition, pp. 303–316,1991.
[11] Duda RO, Hart PE, “Use of the Hough Transform To Detect Lines and Curves In Pictures”, In the Communications of ACM, pp. 11–15, 1972.
[12] Kimme, C., D. Ballard and J. Sklansky, “Finding Circles by an Array of Accumulators”, In the Communications of ACM, pp. 120–122, 1975.
[13] Mohamed Roushdy “Detecting Coins with Different Radii based on Hough Transform in Noisy and Deformed Image” In the proceedings of GVIP Journal, Volume 7, Issue 1, April, 2007.
[14] Cheng Z. and Lin Y., "Efficient technique for ellipse detection using restricted randomized Hough transform", In the proceedings of the International Conference on Information Technology (ITCC'04), Vol.2, pp.714-718, 2004.
[15] Yu Tong, Hui Wang, Daoying Pi and Qili Zhang, "Fast Algorithm of Hough Transform- Based Approaches for Fingerprint Matching", In the Proceedings of the Sixth World Congress on Intelligent Control and Automation, Vol. 2, pp.10425-10429, 2006.
[16] Lam, W.C.Y., Yuen, S.Y., “Efficient technique for circle detection using hypothesis filtering and Hough transform”, IEE Proceedings of Vision, Image and Signal Processing, vol. 143, Oct. 1996.
[17] Torii, A. and Imiya A., "The Randomized Hough Transform Based Method for Great Circle Detection on Sphere", In the Proceedings of Pattern Recognition, pp. 1186-1192, 2007.
[18] Cheng Z. and Lin Y., "Efficient technique for ellipse detection using restricted randomizedHough transform", Proc. of the International Conference on Information Technology(ITCC'04), Vol.2, pp.714 2004.
[19] Yip, R.K.K.; Leung, D.N.K. and Harrold,S.O., "Line segment patterns Hough transform for circles detection using a 2-dimensional array", International Conference on Industrial Electronics, Control, and Instrumentation, Vol.3, pp. 1361-1365, 1993.
[20] Canny, J., "A Computational Approach to Edge Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence,Vol.8, No. 6, Nov. 1986.
[21] Simon Just Kjeldgaard Pedersen , Circular Hough Transform, Aalborg University, Vision, Graphics, and Interactive Systems, November 2007.
[22] Maar, D., Hildreth E., “Theory of edge detection”, Proceedings Royal Soc. London, vol. 207, 187-217,1980.
[23] Sirisak L.,Boonruang M.,Ratchadaporn O.,Anant O. “Straight Line Defect Detection Algorithm with Hough Transform” WORLD ACADEMY OF SCIENCE,ENGINEERING AND TEC 60,DECEMBER 2011
[24] Sirisak L.,Boonruang M.,Ratchadaporn O.,Anant O. “Extracted Circle Hough Transform and Circle Defect Detection Algorithm" WORLD ACADEMY OF SCIENCE,ENGINEERING AND TECHNOGY ISSUE 60,DECEMBER 2011