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A Comparative Analysis of Iterative and Ostu’s Thresholding Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 66 - Number 12 |
| Year of Publication: 2013 |
| Authors: Sheenam Bansal, Raman Maini |
10.5120/11138-6217
|
Sheenam Bansal, Raman Maini . A Comparative Analysis of Iterative and Ostu’s Thresholding Techniques. International Journal of Computer Applications. 66, 12 ( March 2013), 45-47. DOI=10.5120/11138-6217
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.
References
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