Title

A pattern search method for image registration

Document Type

Article

Publication Date

2005

Department

Computing

Abstract

This paper presents a pattern search method for transformation function search in automatic image registration. In this search method, affine transformation parameters are represented as a 5-parameter vector and the search proceeds toward the direction resulting in higher similarity values between the reference and sensed images. Experiments show that this method can successfully find an optimal affine transformation function for edge images generated by computing the local standard deviation of the images. In addition, a series of overlapped aerial images of the Mississippi Delta area are successfully registered into a large reference image automatically by employing this search method.

Publication Title

Lecture Notes in Computer Science

Volume

3514

First Page

664

Last Page

670

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