Document Type
Article
Publication Date
1-1-2012
Abstract
Standard X-ray images using conventional screen-film technique have a limited field of view and failed to visualize the entire long bone on a single image. To produce images with whole body parts, digitized images from the films that contain portions of the body parts are assembled using image stitching. This article presents a new medical image stitching method that uses minimum average correlation energy filters to identify and merge pairs of X-ray medical images. The effectiveness of the proposed method is demonstrated in the experiments involving two databases that contain a total of 40 pairs of overlapping and nonoverlapping images. Then the experimental results are compared to those of the normalized cross correlation (NCC) method. It is found that the proposed method outperforms the NCC method in identifying both the overlapping and nonoverlapping medical images. The efficacy of the proposed method is further vindicated by its average execution time which is about five times shorter than that of the NCC method. © 2012 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 22, 166-171, 2012 Copyright © 2012 Wiley Periodicals, Inc.
Keywords
Image matching, Medical image stitching, Minimum average correlation energy filter, Panoramic image, Average execution time, Body parts, Digitized images, Field of views, Image stitching, Long bone, Medical images, Minimum average correlation energy filters, Nonoverlapping, Normalized cross correlation, Panoramic images, Screen films, Side lobes, Single images, Whole body, X-ray image, X-ray medical images, Face recognition
Divisions
fac_eng
Publication Title
International Journal of Imaging Systems and Technology
Volume
22
Issue
3
Publisher
Wiley
Additional Information
988OX Times Cited:0 Cited References Count:21