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

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

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...

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Bibliographic Details
Main Authors: Qutaibeh D. Katatbeh, José Martínez-Aroza, Juan Francisco Gómez-Lopera, David Blanco-Navarro
Format: Article
Language:English
Published: MDPI AG 2015-12-01
Series:Entropy
Subjects:
entropy
Jensen–Shannon divergence
image segmentation
entropic edge detection
multi-size window processing
Online Access:http://www.mdpi.com/1099-4300/17/12/7858

Internet

http://www.mdpi.com/1099-4300/17/12/7858

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