A new approach to medical image stitching using minimum average correlation energy filter and peak to side-lobe ratio

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 stitc...

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Main Authors: Salbiah, S., Somaya, A., Arof, Hamzah, Saleh, Z.S., Ibrahim, Fatimah
Format: Article
Language:English
Published: Wiley 2012
Subjects:
Online Access:http://eprints.um.edu.my/9317/1/A_New_Approach_to_Medical_Image_Stitching_Using.pdf
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author Salbiah, S.
Somaya, A.
Arof, Hamzah
Saleh, Z.S.
Ibrahim, Fatimah
author_facet Salbiah, S.
Somaya, A.
Arof, Hamzah
Saleh, Z.S.
Ibrahim, Fatimah
author_sort Salbiah, S.
collection UM
description 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.
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spelling um.eprints-93172019-11-27T04:11:28Z http://eprints.um.edu.my/9317/ A new approach to medical image stitching using minimum average correlation energy filter and peak to side-lobe ratio Salbiah, S. Somaya, A. Arof, Hamzah Saleh, Z.S. Ibrahim, Fatimah T Technology (General) TA Engineering (General). Civil engineering (General) 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. Wiley 2012 Article PeerReviewed application/pdf en http://eprints.um.edu.my/9317/1/A_New_Approach_to_Medical_Image_Stitching_Using.pdf Salbiah, S. and Somaya, A. and Arof, Hamzah and Saleh, Z.S. and Ibrahim, Fatimah (2012) A new approach to medical image stitching using minimum average correlation energy filter and peak to side-lobe ratio. International Journal of Imaging Systems and Technology, 22 (3). pp. 166-171. ISSN 0899-9457, DOI https://doi.org/10.1002/Ima.22018 <https://doi.org/10.1002/Ima.22018>. https://doi.org/10.1002/ima.22018 doi:10.1002/Ima.22018
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Salbiah, S.
Somaya, A.
Arof, Hamzah
Saleh, Z.S.
Ibrahim, Fatimah
A new approach to medical image stitching using minimum average correlation energy filter and peak to side-lobe ratio
title A new approach to medical image stitching using minimum average correlation energy filter and peak to side-lobe ratio
title_full A new approach to medical image stitching using minimum average correlation energy filter and peak to side-lobe ratio
title_fullStr A new approach to medical image stitching using minimum average correlation energy filter and peak to side-lobe ratio
title_full_unstemmed A new approach to medical image stitching using minimum average correlation energy filter and peak to side-lobe ratio
title_short A new approach to medical image stitching using minimum average correlation energy filter and peak to side-lobe ratio
title_sort new approach to medical image stitching using minimum average correlation energy filter and peak to side lobe ratio
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
url http://eprints.um.edu.my/9317/1/A_New_Approach_to_Medical_Image_Stitching_Using.pdf
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