This paper aims to present a review of recent as well as classic image registration methods.
Image registration is the process of overlaying images (two or more) of the same scene …

Feature-based methods in vision analysis often encounter the problem of correspondences
between features of two related patterns. The features may be points, lines, curves and …

Point pattern matching (PPM) is an important topic in the fields of computer vision and
pattern recognition. According to if there exists a one to one mapping between the two point …

We describe a new algorithm for matching star lists, given by their two-dimensional
coordinates. Such matching should be unaffected by translation, rotation, rescaling, random …

Introduction Information about central and peripheral duct anatomy is a requirement for
developing intraductal approaches to human breast cancer, but remains sparse. This study …

The technique for point pattern matching (PPM) is essential to many image analysis and
computer vision tasks. Given two point patterns, the PPM technique finds an optimal …

In this paper, we propose a fast pattern matching algorithm based on normalized cross
correlation (NCC) with centroid bounding to achieve very efficient search. The algorithm will …

A survey of point pattern matching techniques and a new approach to point pattern recognition
Page 1 A Survey of Point Pattern Matching Techniques and a New Approach to Point Pattern …

In this paper we propose a new approach in genetic algorithm called distributed hierarchical
genetic algorithm (DHGA) for optimization and pattern matching. It is eventually a hybrid …

The genetic algorithm (GA) and its variants have been used in a wide variety of fields by the
scientists efficiently for solving problems. From the pool of evolutionary algorithms, the GA is …