Feature based registration of thorax x-ray images for lung disease diagnosis

Rininta Putri Nugroho; Astri Handayani; Tati Latifah Rajab Mengko

doi:10.1117/12.853407

26 February 2010 Feature based registration of thorax x-ray images for lung disease diagnosis

Rininta Putri Nugroho, Astri Handayani, Tati Latifah Rajab Mengko

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75462Z (2010) https://doi.org/10.1117/12.853407
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

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.

Citation Download Citation

Rininta Putri Nugroho, Astri Handayani, and Tati Latifah Rajab Mengko "Feature based registration of thorax x-ray images for lung disease diagnosis", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462Z (26 February 2010); https://doi.org/10.1117/12.853407

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