LSMAT Least Squares Medial Axis Transform

Groupwise Medial Axis Transform

Medial Axis Transform (MAT) is one of the promising tools used for the shape recognition and it poses the advantages like space and complexity reduction, ease of processing for shape recognition. MAT representation of shapes uses object centred co-ordinate system that represents bending, elongation and thickness. But MAT of the objects is very much sensitive to small perturbations of its bounda...

Least Squares Matching in the Transform Domain

Because of the large image size of aerial and satellite imagery used in digital photogrammetry, the use of image compression to reduce the amount of storage space has become more common. Normally this would add an additional operation of decompression before photogrammetric processing could be carried out. This paper describes a method whereby image matching can be conducted without the need to...

Two-dimensional offsets and medial axis transform

We present a mathematical theory of the two-dimensional offset curves from the viewpoint of medial axis transform. We explore the local geometry of the offset curve in relation with the medial axis transform, culminating in the classification of points on the offset curve. We then study the domain decomposition from the viewpoint of offsets, and in particular introduce the concept of monotonic ...

Stability Analysis of Medial Axis Transform

One-Sided Stability of Medial Axis Transform