Straight Line Defect Detection with Feed Forward Neural Network
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.
[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
[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
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:50049", author = "S. Liangwongsan and A. Oonsivilai", title = "Straight Line Defect Detection with Feed Forward Neural Network", abstract = "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 = "Hough Transform, Failure Analysis, Media, Hard
Disk Drive", volume = "6", number = "9", pages = "1835-6", }
