A novel fast otsu digital image segmentation method
Joint Authors
Bouridane, Ahmed
al-Said, Dua
al-Zaart, Ali
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 4 (31 Jul. 2016)7 p.
Publisher
Publication Date
2016-07-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Electronic engineering
Information Technology and Computer Science
Topics
Abstract EN
Digital image segmentation based on Otsu’s method is one of the most widely used technique for threshold selection.
With Otsu’s method, an optimum threshold is found by maximizing the between-class variance and the algorithm assumes that the image contains two classes of pixels or bi-modal histogram (e.g., foreground and background).
It then calculates the optimal threshold value separating these two classes so that, their between class variance is maximal.
The optimum threshold value is found by an exhaustive search among the full range of gray levels (e.g., 256 levels of intensity).
The objective of this paper is to develop a fast algorithm for the Otsu method that reduces the number of search iterations.
A new search technique is developed and compared with the original Otsu method.
Experiments on several images show that the proposed Otsu-Checkpoints fast method give the same estimated threshold value with less number of iterations thus resulting in a much less computational complexity.
American Psychological Association (APA)
al-Said, Dua& al-Zaart, Ali& Bouridane, Ahmed. 2016. A novel fast otsu digital image segmentation method. The International Arab Journal of Information Technology،Vol. 13, no. 4.
https://search.emarefa.net/detail/BIM-655037
Modern Language Association (MLA)
al-Said, Dua…[et al.]. A novel fast otsu digital image segmentation method. The International Arab Journal of Information Technology Vol. 13, no. 4 (Jul. 2016).
https://search.emarefa.net/detail/BIM-655037
American Medical Association (AMA)
al-Said, Dua& al-Zaart, Ali& Bouridane, Ahmed. A novel fast otsu digital image segmentation method. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 4.
https://search.emarefa.net/detail/BIM-655037
Data Type
Journal Articles
Language
English
Notes
Includes appendices.
Record ID
BIM-655037