A relative entropy based approach to image thresholding was proposed recently by Chang et al. They demonstrated that this method is successful for image thresholding. Relative entropy is a member of the class of Ali-Silvey distance measures. In this paper we generalize the relative entropy based approach and present image thresholding algorithms based on the class of Ali-Silvey distance measures. A number of members of this class are selected and used for implementation in image thresholding algorithms. Performance is evaluated by applying these algorithms to several images and comparing them to a few histogram based thresholding methods.
Image thresholding based on Ali-Silvey distance measures
Signal Processing, Sensor Fusion, and Target Recognition V ; 1996 ; Orlando,FL,United States
Proc. SPIE ; 2755
1996-06-14
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Median-based image thresholding
British Library Online Contents | 2011
|Edges: saliency measures and automatic thresholding
British Library Online Contents | 1997
|Multiresolution Image Dynamic Thresholding
British Library Conference Proceedings | 1988
|Image Denoising Using Block Thresholding
IEEE | 2008
|Maximum Segmented Image Information Thresholding
British Library Online Contents | 1998
|