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Proceedings Paper

Feature based registration of thorax x-ray images for lung disease diagnosis
Author(s): Rininta Putri Nugroho; Astri Handayani; Tati Latifah Rajab Mengko
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Paper Abstract

In diagnosing lung diseases using x-ray images of a human thorax, there is a huge risk of error in detecting abnormalities of the lung. This may be caused by geometric differences in the images that are being compared. To minimize the possible errors, a system is proposed to assist in the diagnosis process. In implementing this system, a registration process of the images is required as the first step in minimizing the human errors. A feature based method is used to solve the registration of images by using a scale invariant feature transform (SIFT) as the method of feature extraction. Using this feature based method is hoped to result in a better registration than the area based method that was previously used.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462Z (26 February 2010); doi: 10.1117/12.853407
Show Author Affiliations
Rininta Putri Nugroho, Bandung Institute of Technology (Indonesia)
Astri Handayani, Bandung Institute of Technology (Indonesia)
Tati Latifah Rajab Mengko, Bandung Institute of Technology (Indonesia)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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