Image Registration Using Phase Correlation

Publication Date

12-2008

Type of Culminating Activity

Thesis

Degree Title

Master of Science in Electrical Engineering

Department

Electrical and Computer Engineering

Major Advisor

Elisa H. Barney Smith

Advisor

Nader Rafla

Advisor

Tim Andersen

Abstract

A phase correlation based image registration method is presented in this thesis to assist in overcoming the disadvantages of the traditional paper based printer test method. The images used in the tests were generated by printer emulators that generate digital images corresponding to those printed on a physical printer. I provides a similarity measure of two given images by computing the correlation between them. this registration method can identify orientational, translational, and scaling misalignments of two images. It combines the basic phase correlation technique and a modified version of it to achieve high speed and high accuracy. 2D phase correlation provides accurate and consistent performance over a wide range of translational misalignments. While registering images using a 1D phase correlation pair is faster, it is only accurate when the translational misalignment is small. The registration method proposed in this thesis speeds up the registration process, while maintaining high accuracy, by downsampling the images, setting a threshold for 2D phase correlation, and using criteria for deciding whether to use 1D phase correlation. the proposed method has been implemented and tested. With the error tolerance set to 5 pixels, over 97% of the image pairs were registered correctly and the average computation time including scale estimation is 1.7 seconds. If there is no scaling misalignment, the computation time can be withing 1 second.

Comments

This document is available in print-only format through the Boise State University Albertsons Library collection.

This document is currently not available here.

Files over 30MB may be slow to open. For best results, right-click and select "save as..."

Share

COinS