K-S entropy of images

Author

Pham, Tuan D.

Author_Institution

Center for Adv. Inf. Sci. & Technol., Univ. of Aizu, Fukushima, Japan

fYear

2013

fDate

7-9 July 2013

Firstpage

15

Lastpage

18

Abstract

The propagation of entropy rates in the formulation of Kolmogorov-Sinai (K-S) entropy forms the basis for identifying the dynamical behavior of a complex system often expressed in time-series data. This paper presents a procedure for estimating K-S entropy of images, which can be used to study the mechanism underlying the spatial content of images and useful as a multidimensional feature for pattern classification. The proposed method has been tested to detect spatial characteristics of different scenes and spatial objects. The potential applications of the proposed method appear to be promising for chaos analysis of images.

Keywords

image classification; time series; K-S entropy rate; Kolmogorov-Sinai entropy forms; chaos analysis; complex system; multidimensional feature; pattern classification; time-series data; Bridges; Buildings; Cancer; Chaos; Entropy; Mathematical model; Streaming media; Chaos; Kolmogorov-Sinai (K-S) entropy; image analysis; nonlinear dynamics; pattern classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Image Processing (IWSSIP), 2013 20th International Conference on

Conference_Location

Bucharest

ISSN

2157-8672

Print_ISBN

978-1-4799-0941-4

Type

conf

DOI

10.1109/IWSSIP.2013.6623438

Filename

6623438