A common problem in the field of image processing is recovering a geometrical distortion
such as scaling, rotation, translation, shearing, and others. These types of distortions can be …

In the continuous domain R^n, rigid transformations are topology-preserving operations.
Due to digitization, this is not the case when considering digital images, ie, images defined …

Rigid transformations are involved in a wide range of digital image processing applications.
When applied on discrete images, rigid transformations are usually performed in their …

The problem of two-dimensional pattern matching invariant under a given class of
admissible transformations F is to find matches of transformed versions f (P) of a pattern P in …

Rigid transformations are involved in a wide range of digital image processing applications.
In such a context, they are generally considered as continuous processes, followed by a …

Topology preservation is a property of affine transformations in R 2, but not in Z 2. In this
article, given a binary object X⊂ Z 2 and an affine transformation A, we propose a method …

Image matching is an important problem in image processing and arises in such diverse
fields as video compression, optical character recognition, medical imaging, watermarking …

The problem of two-dimensional pattern matching invariant under a given class of
admissible transformations F is to find in text T matches of transformed versions f (P) of the …

Rigid motions are fundamental operations in image processing. While bijective and
isometric in R^ 3, they lose these properties when digitized in Z^ 3. To understand how the …

Affine image matching is a computational problem to determine for two given images A and
B how much an affine transformated A can resemble B. The research in combinatorial …