Paper Info
Title
Measure of similarity between images based on the codispersion coefficient
Abstract
We propose to use the codispersion coefficient to define a measure of similarity between images. This coefficient has been widely used in spatial statistics to quantify the association between two spatial processes, and here we explore its capabilities in an image processing context is mathematically simple to compute and possesses good statistical properties. The new measure takes into account the spatial association in a specific direction h between a degraded image and the original unmodified image. Three applications are developed to illustrate the capabilities of our proposal. The defined measure captures the spatial association produced by fitting AR-2D processes with different window sizes. It is able to distinguish the levels of similarity between two images for specific directions in two-dimensional space. Finally, it detects stochastic resonance when an image is transmitted by a nonlinear device. (C) 2012 SPIE and IS&T. [DOI: 10.1117/1.JEI.21.2.023019]
Year
DOI
Venue
2012
10.1117/1.JEI.21.2.023019
JOURNAL OF ELECTRONIC IMAGING
Field
DocType
Volume
Spatial analysis,Computer vision,Nonlinear system,Pattern recognition,Computer science,Image processing,Artificial intelligence,Stochastic resonance
Journal
21
Issue
ISSN
Citations 
2
1017-9909
2
PageRank 
References 
Authors
0.39
5
3
Name
Order
Citations
PageRank
Silvia Ojeda172.30
Ronny O. Vallejos221.40
Pedro W. Lamberti320.39