Threshold and binarization for document image analysis using otsu’s Algorithm
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2014 by IJCTT Journal|
|Year of Publication : 2014|
|Authors : Dr. Neeraj Bhargava, Anchal kumawat, Dr. Ritu Bhargava|
|DOI : 10.14445/22312803/IJCTT-V17P150|
Dr. Neeraj Bhargava, Anchal kumawat, Dr. Ritu Bhargava "Threshold and binarization for document image analysis using otsu’s Algorithm ". International Journal of Computer Trends and Technology (IJCTT) V17(5):272-275, Nov 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
This paper deal with a Binarization of image using a global threshold. Otsu calculates a global threshold by accepting the existence of two classes, foreground and background pixels, and choose the threshold that minimizes the interclass variance of the threshold black and white pixels. Converting a gray scale image to binarize is a common image processing task. In this paper, image processing methods are presented for automatically finding the optimum global threshold value.
 T. Romen Singh, Sudipta Roy and O. Imocha Singh, “A New Local Adaptive Thresholding Technique in Binarization”, Department of Information Technology, School of Technology, Assam University,Silchar – 788011, Assam, India.
 Nobuyuki Otsu, “A Threshold Selection Method from Gray-Level Histogram”.
 Meng-Ling Feng and Yap-PengTan,“AdaptiveBinarization Method for Document Image Analysis”, 2004 IEEE International Conference on Multimedia and Expo, School of Electrical and Electronic EngineeringNanyang Technological University, Singapore
 PavlosStathis, ErginaKavallierataou and Nikos Papamarkos, “An Evaluation Technique for BinarizationAlgorithms”,Journal of Universal Computer Science, vol. 14, no. 18 (2008), 3011-3030submitted: 1/3/08, accepted: 29/9/08, appeared: 1/10/08 © J.UCS
Binarization, otsu, gray scale image, intensity histogram, global threshold.