A statistical model is developed for the image pair and used to derive a minimum-error
hypothesis test for matching. For reasons of tractability a multivariate normal image model …

The fundamental nature of the map-matching problem is examined and theoretical
justification for using various comparison metrics is investigated. Since the problem is one of …

Image matching in its simplest form is a two class decision problem. Based on the evidence
in two sensed images, a matching procedure must decide whether they represent two views …

In this paper, we discuss a number of new problems that arise in image databases, and that
set them apart from traditional databases. The fact that image databases are based on …

A Probabilistic Matching Model for Binary Images (PMMBI) is presented that predicts the
probability of matching binary images with any level of similarity. The model relates the …

In this paper we present a quick technique to measure the similarity between binary images.
The technique is based on a probabilistic mapping approach and is fast because only a …

The paper proposes an approach using genetic algorithm for computing the region based
image similarity. The image is denoted using a set of segmented regions reflecting color and …

Here, the author presents the gamma binary distance, an exceptional distance for
measuring similarity between binary images. The gamma distance is a probabilistic pixel …

The subject of this chapter is image similarity measures. These measure provide a
quantitative measure of the degree of match between two images, or image patches, A and …

Matching images is a fundamental problem in image processing. The most common
technique used to compare binary images is to calculate the correlation between two …