PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

t-tests, F-tests and Otsu's methods for image thresholding
Jinghao Xue and Mike Titterington
IEEE Transactions on Image Processing 2010.

Abstract

Otsu's binarisation method is one of the most popular image-thresholding methods; Student's t-test is one of the most widely-used statistical tests to compare two groups. This paper aims to stress the equivalence between Otsu's binarisation method and the search for an optimal threshold that provides the largest absolute Student's t-statistic. It is then naturally demonstrated that the extension of Otsu's binarisation method to multi-level thresholding is equivalent to the search for optimal thresholds that provide the largest F-statistic through one-way analysis of variance (ANOVA). Furthermore, general equivalences between some parametric image-thresholding methods and the search for optimal thresholds with the largest likelihood-ratio test statistics is briefly discussed.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:7314
Deposited By:Mike Titterington
Deposited On:17 March 2011