A Comparative Analysis of Iterative and Ostu’s Thresholding Techniques
{tag} Volume 66 - Number 12
{/tag} International Journal of Computer Applications © 2013 by IJCA Journal
Year of Publication: 2013
Sheenam Bansal
Authors:
Raman Maini
10.5120/11138-6217 {bibtex}pxc3886217.bib{/bibtex}
Abstract
Image segmentation is a process of dividing an image into a number of meaningful regions. Each pixel of an image carries a certain measure which is used for segmentation . An image is divided into different regions based on a certain characteristic such as an intensity value. The different regions differ to each other with respect to some characteristic . In this paper ,two different thresholding methods, for partitioning images into different regions are analyzed and compared. The different methods for thresholding for image segmentation have been simulated using MATLAB 7. 0. This paper discusses two thresholding methods-Iterative method and Ostu's method. It has been observed that the Ostu's method works better as compared to the Iterative thresholding method as it tends to minimize the inter class variance. The results of this study are quiet promising.
ences
Refer
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,February 2012
1/2
A Comparative Analysis of Iterative and Ostu’s Thresholding Techniques
A. L. Amri Salem Saleh, N. V. Kalyankar, S. D. Khamitkar ,"Image Segmentation By Using Thresholding Techniques", Journal Of Computing,Volume 2,Issue 5,May 2010 Rafel C. Gonzalez, Richard E. Woods,"Digital Image Processing", Upper Saddle River, NJ, Prentice Hall, 2001 Bryan S. Morse, "Lecture 4-Thresholding ", Brigham Young University P. K. Sahoo, S. Soltani, A. K. C. Wong ,"A survey of thresholding techniques", Computer Vision, Graphics and Image Processing, vol. 41, No. 233 Jain. S. Petrou,"Thresholding", Sections 3. 2. 1, 3. 2. 2, December, 2009 B. Poornima. , Y. Ramadevi , T. Sridevi ,"Threshold based edge detection algorithm", IACSIT International Journal of Engineering and Technology, Vol. 3,No. 4,August 2011 Peter V. Henstock, David M. Chelberg, "Automatic Gradient Threshold determination for edge detection using a Statistical Model", Purdue University, ECE Technical Reports,Jan,1996 Christian Per Henden,"A comparison of thresholding methods", Exercise in computer Vision, November 2004 - R. C. Gonzalez, R. E. Woods and S. L. Eddins: "Digital Image Processing using MATLAB", Pearson Education Inc. , 2004 Computer Science
Index Terms
Image Processing
Keywords
Thresholding variance image image segmentation
2/2