Maria Akther; Md. Kaiser Ahmed; Md. Zahid Hasan

Detection of Vehicle’s Number Plate at Nighttime using Iterative Threshold Segmentation (ITS) Algorithm

Full Text (PDF, 465KB), PP.62-70

Views: 0 Downloads: 0

Author(s)

Maria Akther ^1,* Md. Kaiser Ahmed ² Md. Zahid Hasan ³

1. Dept. of Computer Science, Daffodil International University, Dhaka, Bangladesh

2. Dept. of CSE, United International University, Dhaka, Bangladesh

3. Dept. of CSE, Green University, Dhaka, Bangladesh

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2013.12.09

Received: 5 Jun. 2013 / Revised: 19 Jul. 2013 / Accepted: 23 Aug. 2013 / Published: 8 Oct. 2013

Index Terms

Image processing, Vehicle nameplate detection, image segmentation, Iterative segmentation method, Threshold, ITS algorithm

Abstract

An Iterative method of individual nameplate detection using color images acquired from a high position is proposed for guidance of nighttime vehicles and other similar purposes. Segmentation is a very critical and difficult stage to accomplish in computer aided detection systems. Fundamentally the method contains iterative automatic thresholding and selecting the best threshold value which is applied to the original or enhanced dark night images. The main focus of the iteration based threshold to distinguish the image of the background and foreground. This method was tested on an actual outdoor vehicle images and results obtained from automatic thresholding of the experimental images are showing the validity of the method.

Cite This Paper

Maria Akther, Md. Kaiser Ahmed, Md. Zahid Hasan,"Detection of Vehicle’s Number Plate at Nighttime using Iterative Threshold Segmentation (ITS) Algorithm", IJIGSP, vol.5, no.12, pp. 62-70, 2013. DOI: 10.5815/ijigsp.2013.12.09

Reference

[1]D.A. Forsyth and J. Ponce, Computer Vision: A Modern Approach, Prentice Hall, 2002.

[2]Agus Zainal Arifin and Akira Asano, “Image Segmentation by Histogram Thresholding using Hierarchical Cluster Analysis”, Journal on Pattern Recognition Letters, Vol. 27 Issue 13, Pages 1515-1521, 2006.

[3]Jaskirat Kaur, Sunil Agarwal,Renu Vig, “A Comparative analysis of Thresholding and Edge detection segmentation Techniques”, International Journal of Computer Applications, Volume 39,No. 15, Feb. 2012.

[4]A. L. Amri Salem Saleh, N. V. Kalyankar, S. D. Khamitkar ,”Image Segmentation By Using Thresholding Techniques”, Journal Of Computing,Volume 2,Issue 5, pp. 83-86, 2010.

[5]A.S. Abutaleb, “ Automatic Thresholding of Gray-Level Pictures Using Two Dimensional Entropy”, Computer Vision, Graphics and Image Processing, Vol.47, pp. 22-32, 1989.

[6]Jamil A. M. Saif, Ali Abdo Mohammed Al-Kubati, Abdultawab Saif Hazaa, Mohammed Al-Moraish, Image Segmentation Using Edge Detection and Thresholding, The 13th international Arab Conference on information technology ACIT, pp. 473-476, 2012.

[7]A.S. Abutaleb, “Automatic Thresholding of Gray-Level Pictures Using Two Dimensional Entropy”, Computer Vision, Graphics, and Image Processing, Vol.47, PP.22-32, 1989.

[8]J. Kittler and J. Illingworth, “Minimum Error Thresholding”, Pattern Recognition, Vol.19, No.1, PP.41-47, 1986.

[9]K.H. Liang and J.J.W Mao, “Image Thresholding by Minimizing the Measures of Fuzziness”, Pattern Recognition, Vol.28, No.1, PP.41-51, 1995.

[10]Purnashti Bhosale and Aniket Gokhale, Segmentation of Color Images Based on Different Segmentation Techniques, International Journal of Electronics and Computer Science Engineering, Vol.2, No.2, pp. 640-644, 2013.

[11]Pritee Gupta, Vandana Malik and Mallika Gandhi, Implementation of Multilevel Threshold Method for Digital Images Used In Medical Image Processing, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.2 Issue 2, 2012.

[12]A. N. Otsu, “A threshold selection method from gray-level histogram”. IEEE Transactions on Systems, Man. And Cybernetics, pp. 62-66, 1978.

[13]Agus Zainal Arifin and Akira Asano, Image Thresholding by Histogram Segmentation Using Discriminant Analysis, In Proceedings of Indonesia–Japan Joint Scientific Symposium, IJJSS,pp. 169-174, 2004.

[14]O. J. Tobias and R. Seara, “Image segmentation by histogram Trans. On Image Processing, vol. 11, pp. 1457-1465, 2002.

[15]R. C. Gonzalez and R. E. Woods, Digital Image Processing. Addison-Wesley Publishing Company, 1993.

[16]Gonzalez and Woods, "Digital image processing",2nd Edition, prentice hall, 2002,May 2010.

[17]Kenneth R. Castelman, "Digital image processing", Tsinghua Univ, Press, 2003.

[18]S. Jayaraman, S. Esakkirajan, T. Veerakumar, Digital Image Processing, Tata McGraw Hill Education Private Limited, 2009.

[19]R. C. Gonzalez and R. E. Woods, Digital Image Processing (Prentice Hall, 2002).

[20]Sheenam Bansal and Ramn Maini, “A Comparative Analysis of Iterative and Ostu’s Thresholding Techniques”, International journal of computer applications, vol 66, No.12, pp. 45-47, 2013.

[21]Otsu, N., "A threshold selection method from gray-level histograms", IEEE trans. Syst. Mancybern., SMC-9, pp. 62-66, 1979.

[22]Rafel C. Gonzalez, Richard E. Woods,”Digital Image Processing”, Upper Saddle River, NJ, Prentice Hall, 2001.

[23]O. Nina, B. S. Morse, and W. A. Barrett, “A recursive Otsu thresholding method for scanned document binarization,” IEEE Workshop on Applications of Computer Vision (WACV), pp. 307-314, January 2011.

[24]R.T.W. Calvard et al. “Picture thresholding using an iterative selection method”, IEEE Transactions on Systems Man and Cybernetics, pp. 203-216, 1978.

[25]Vanniappan Balamurugan and Senthamarai Kannan, "Detection of traffic signal by adaptive approach and shape constraints", The International Arab Journal of Information Technology, Vol. 8, No. 4,pp. 345-349, October 2011.

[26]Xin Zhang, Daoliang Li, Wenzhu Yang, Jinxing Wang, Shuangxi Liu, "An Efficient Iterative Thresholding Algorithms for Color Images of Cotton Foreign Fibers", Computer and Computing Technologies in Agriculture IV, IFIP Advances in Information and Communication Technology Volume 347, 2011, pp 710-719, October 2010.

[27]Liju Dong,Ge Yu, "An Efficient Iterative Optimization Algorithm for Image Thresholding", Computational and Information Science Lecture Notes in Computer Science Volume 3314, pp 1079-1085, 2005.

[28]Mehmet Sezgin and Bulent Sankur"Survey over image thresholding techniques and quantitative performance evaluation", Journal of Electronic Imaging, pp. 146-165, January 2004.

[29]Roberto Rodríguez Morales, Didier Domínguez, Esley Torres and Juan H. Sossa, "Image Segmentation Through an Iterative Algorithm of the Mean Shift ", book chapter, October 24, 2012.

International Journal of Image, Graphics and Signal Processing (IJIGSP)