An Application of Tsallis Entropy Minimum Difference on Image Segmentation

Author

Li Yan ; Xiaoping, Fan ; Li Gang

Author_Institution

Coll. of Inf. Sci. & Eng., Central South Univ.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

9557

Lastpage

9561

Abstract

A threshold segmentation algorithm based on Tsallis entropy is presented. The algorithm calculates the entropy of object and the entropy of background firstly. Then the absolute value of difference between two entropies is gained. The threshold value is corresponding to the minimum of the absolute values. Tsallis entropy has an additional parameter comparing to other entropies, but the optimal threshold can be computed automatically in our method. The additional parameter makes it process more type of image. This algorithm and other algorithms based on other entropies are experimented. The simulating result shows that this algorithm is better than other algorithms

Keywords

image segmentation; minimum entropy methods; object recognition; Tsallis entropy minimum difference; background entropy; image segmentation; object entropy; optimal threshold; threshold segmentation algorithm; Chaos; Computational modeling; Educational institutions; Entropy; Fractals; Histograms; Image processing; Image segmentation; Information science; Tellurium; Tsallis entropy; image segmentation; minimum difference; threshold value;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713854

Filename

1713854