Share Email Print
cover

Proceedings Paper

Automatic image registration based on correlation and Hough transform
Author(s): Hernâni Gonçalves; José A. Gonçalves; Luís Corte-Real
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Automatic image registration is a process related to various application fields such as remote sensing, medicine, computer vision, among others. Particularly in remote sensing, the ever increasing number of available satellite images asks for automatic image registration methods, capable of correctly align a new image. An automatic image registration method is proposed, based on the identification of a thin line through the Hough transform, from the diagonal brighter strip visible on the correlation images. This procedure is applied for both directions. Dividing an image into tiles and taking the center of each tile as a point, a geometric correction at the subpixel level may be achieved. Measures for an objective assessment of the geometric correction quality are also proposed, as a complement to the traditional RMS of the errors and visual inspection. An orthorectified Landsat image and an ASTER image with an approximate geometric correction were used. The images were superimposed and resampled. An image registration with subpixel accuracy was achieved. The proposed methodology has showed to be able to correctly align two images, having a priori a "gold standard" image covering a considerable part of the image to be registered.

Paper Details

Date Published: 10 October 2008
PDF: 12 pages
Proc. SPIE 7109, Image and Signal Processing for Remote Sensing XIV, 71090J (10 October 2008); doi: 10.1117/12.800351
Show Author Affiliations
Hernâni Gonçalves, Univ. do Porto (Portugal)
José A. Gonçalves, Univ. do Porto (Portugal)
Luís Corte-Real, Univ. do Porto (Portugal)
INESC Porto (Portugal)


Published in SPIE Proceedings Vol. 7109:
Image and Signal Processing for Remote Sensing XIV
Lorenzo Bruzzone; Claudia Notarnicola; Francesco Posa, Editor(s)

© SPIE. Terms of Use
Back to Top