The Hausdorff distance measures the extent to which each point of a model set lies near
some point of an image set and vice versa. Thus, this distance can be used to determine the …

This paper presents an efficient metric for the computation of the similarity among
omnidirectional images (image matching). The representation of image appearance is …

We present a new pattern similarity measure that behaves well under affine transformations.
Our similarity measure is useful for pattern matching since it is defined on patterns with …

Multimedia databases (in particular image databases) are different from traditional system
since they cannot ignore the perceptual substratum on which the data come. There are …

A new definition of shape similarity Page 1 Pattern Recognition Letters 1 (1982) 37-42 October
1982 North-Holland Publishing Company A new definition of shape similarity SK PARUI and D …

Cosine similarity measure is often applied in the area of information retrieval, text
classification, clustering, and ranking, where documents are usually represented as term …

Classification represents a general methodology applicable eg in machine learning and
pattern recognition. The ultimate goal of designing a pattern recognition system is to achieve …

This paper presents a signature-based approach to quantifying perceptual nearness of
images. A signature is defined as a set of descriptors, where each descriptor consists of a …

In this paper, we introduce a dissimilarity measure between two gray-scale images based on
Baddeley's distance. To some extent, it can be regarded as a modification of that proposed …