Measure of Similarity Between Images Based on the Codispersion Coefficient

SILVIA OJEDA; RONNY VALLEJOS; PEDRO W. LAMBERTI

JOURNAL OF ELECTRONIC IMAGING

SPIE and IS&T

Año: 2012 vol. 21 p. 1 - 5

1060-4936

We propose to use the codispersion coecient to dene a measure of similarity between images. This coecient 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. It is mathematically simple to compute and possesses good statistical properties. The new measure takes into account the spatial association in a specic direction h between a degraded image and the original unmodied image. Three applications are developed to illustrate the capabilities of our proposal. The dened measure captures the spatial association that is produced by tting AR-2D processes with dierent window sizes. It is able to distinguish the levels of similarity between two images for specic directions in two- dimensional space. Finally, it detects stochastic resonance when an image is transmitted by a nonlinear device.