The vagueness measure : a new interpretation and an application to image thresholding

Dombi József and Gulyás Gergely: The vagueness measure : a new interpretation and an application to image thresholding. In: Acta cybernetica, (21) 1. pp. 105-122. (2013)

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Here, we introduce a new interpretation of the vagueness measure (which appeared in an earlier work) and an application for this approach. If the vagueness measure is computed for the distribution function of a given population, the value obtained gives a similar characteristic as the standard deviation of the population. Based on this property, a new global thresholding algorithm was developed that generalizes the idea of Otsu's optimality criterion by the means of continuous-valued logic. The performance of this method is compared with other commonly used algorithms to validate the usefulness of the proposed approach. Although the purpose of this algorithm is to threshold a grayscale image (which can be a useful step in the segmentation process of biological and medical images), it can be generalized for other tasks that require the separation of two or more populations, characterized by real values.

Item Type: Article
Journal or Publication Title: Acta cybernetica
Date: 2013
Volume: 21
Number: 1
ISSN: 0324-721X
Page Range: pp. 105-122
Language: English
Place of Publication: Szeged
Related URLs:
DOI: 10.14232/actacyb.21.1.2013.8
Uncontrolled Keywords: Számítástechnika, Kibernetika, Matematika
Additional Information: Bibliogr.: p. 120-122. ; összefoglalás angol nyelven
Subjects: 01. Natural sciences
01. Natural sciences > 01.01. Mathematics
01. Natural sciences > 01.02. Computer and information sciences
Date Deposited: 2016. Oct. 17. 10:38
Last Modified: 2022. Jun. 17. 15:07

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