Next Article in Journal
A Feature Subset Selection Method Based On High-Dimensional Mutual Information
Next Article in Special Issue
On the Thermodynamics of Classical Micro-Canonical Systems
Previous Article in Journal
Some Convex Functions Based Measures of Independence and Their Application to Strange Attractor Reconstruction
Open AccessArticle

Optimal Multi-Level Thresholding Based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach

School of Information Science and Engineering, Southeast University, Nanjing 210096, China
*
Author to whom correspondence should be addressed.
Entropy 2011, 13(4), 841-859; https://doi.org/10.3390/e13040841
Received: 2 March 2011 / Revised: 17 March 2011 / Accepted: 29 March 2011 / Published: 13 April 2011
(This article belongs to the Special Issue Tsallis Entropy)
This paper proposes a global multi-level thresholding method for image segmentation. As a criterion for this, the traditional method uses the Shannon entropy, originated from information theory, considering the gray level image histogram as a probability distribution, while we applied the Tsallis entropy as a general information theory entropy formalism. For the algorithm, we used the artificial bee colony approach since execution of an exhaustive algorithm would be too time-consuming. The experiments demonstrate that: 1) the Tsallis entropy is superior to traditional maximum entropy thresholding, maximum between class variance thresholding, and minimum cross entropy thresholding; 2) the artificial bee colony is more rapid than either genetic algorithm or particle swarm optimization. Therefore, our approach is effective and rapid. View Full-Text
Keywords: image segmentation; multi-level thresholding; maximum Tsallis entropy; artificial bee colony image segmentation; multi-level thresholding; maximum Tsallis entropy; artificial bee colony
Show Figures

Figure 1

MDPI and ACS Style

Zhang, Y.; Wu, L. Optimal Multi-Level Thresholding Based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach. Entropy 2011, 13, 841-859.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Search more from Scilit
 
Search
Back to TopTop