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http://dx.doi.org/10.9717/kmms.2015.18.6.701

Rapid Stitching Method of Digital X-ray Images Using Template-based Registration  

Cho, Hyunji (Dept. of Information System Eng., Graduate School, Hansung University)
Kye, Heewon (Dept. of Information System Eng., Graduate School, Hansung University)
Lee, Jeongjin (Dept. of Computer Science and Engineering, Soongsil University)
Publication Information
Journal of Korea Multimedia Society / v.18, no.6, 2015 , pp. 701-709 More about this Journal
Abstract
Image stitching method is a technique for obtaining an high-resolution image by combining two or more images. In X-ray image for clinical diagnosis, the size of the imaging region taken by one shot is limited due to the field-of-view of the equipment. Therefore, in order to obtain a high-resolution image including large regions such as a whole body, the synthesis of multiple X-ray images is required. In this paper, we propose a rapid stitching method of digital X-ray images using template-based registration. The proposed algorithm use principal component analysis(PCA) and k-nearest neighborhood(k-NN) to determine the location of input images before performing a template-based matching. After detecting the overlapping position using template-based matching, we synthesize input images by alpha blending. To improve the computational efficiency, reduced images are used for PCA and k-NN analysis. Experimental results showed that our method was more accurate comparing with the previous method with the improvement of the registration speed. Our stitching method could be usefully applied into the stitching of 2D or 3D multiple images.
Keywords
Image Stitching; Template-based Registration; Principal Component Analysis; Image Blending;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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