Next Article in Journal
Energy Flows in Low-Entropy Complex Systems
Next Article in Special Issue
On the Complex and Hyperbolic Structures for the (2 + 1)-Dimensional Boussinesq Water Equation
Previous Article in Journal / Special Issue
Wavelet-Tsallis Entropy Detection and Location of Mean Level-Shifts in Long-Memory fGn Signals
Open AccessArticle

An Optimal Segmentation Method Using Jensen–Shannon Divergence via a Multi-Size Sliding Window Technique

1
Department of Mathematics and Statistics, Faculty of Science and Arts, Jordan University of Science and Technology, Irbid 22110, Jordan
2
Departamento de Matemática Aplicada, Universidad de Granada, Granada 18071, Spain
3
Departamento de Física Aplicada, Universidad de Granada, Granada 18071, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Carlo Cattani
Entropy 2015, 17(12), 7996-8006; https://doi.org/10.3390/e17127858
Received: 4 August 2015 / Revised: 11 November 2015 / Accepted: 24 November 2015 / Published: 4 December 2015
(This article belongs to the Special Issue Wavelets, Fractals and Information Theory I)
In this paper we develop a new procedure for entropic image edge detection. The presented method computes the Jensen–Shannon divergence of the normalized grayscale histogram of a set of multi-sized double sliding windows over the entire image. The procedure presents a good performance in images with textures, contrast variations and noise. We illustrate our procedure in the edge detection of medical images. View Full-Text
Keywords: entropy; Jensen–Shannon divergence; image segmentation; entropic edge detection; multi-size window processing entropy; Jensen–Shannon divergence; image segmentation; entropic edge detection; multi-size window processing
Show Figures

Figure 1

MDPI and ACS Style

Katatbeh, Q.D.; Martínez-Aroza, J.; Gómez-Lopera, J.F.; Blanco-Navarro, D. An Optimal Segmentation Method Using Jensen–Shannon Divergence via a Multi-Size Sliding Window Technique. Entropy 2015, 17, 7996-8006. https://doi.org/10.3390/e17127858

AMA Style

Katatbeh QD, Martínez-Aroza J, Gómez-Lopera JF, Blanco-Navarro D. An Optimal Segmentation Method Using Jensen–Shannon Divergence via a Multi-Size Sliding Window Technique. Entropy. 2015; 17(12):7996-8006. https://doi.org/10.3390/e17127858

Chicago/Turabian Style

Katatbeh, Qutaibeh D.; Martínez-Aroza, José; Gómez-Lopera, Juan F.; Blanco-Navarro, David. 2015. "An Optimal Segmentation Method Using Jensen–Shannon Divergence via a Multi-Size Sliding Window Technique" Entropy 17, no. 12: 7996-8006. https://doi.org/10.3390/e17127858

Find Other Styles

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop