Interpolation Algorithms of Medical Images
XU Wei - hua~1, YIN Xue- song~2 (1. Information Center, Zhejiang Financial Professional College, Hangzhou Zhejiang 310018,China; 2. Department of Computer Science and Technology, Zhejiang Radio &Television Universtiy, Hangzhou Zhejiang 310012, China)
The technique of image interpolation is usually required for medical image processing, analysis and display. In addition, image interpolation is an important step in 3-D reconstruction. Moreover, the process of reconstruction is effected by the results of interpolation. In this paper, several interpolation methods such as nearest neighbor, linear, Lagrange polynomial, matching, shape and wavelet interpolation are implemented on PC. The experimental results show that grayl- based method computes simply and quickly, but blur of boundary is not overcome in the different density matter. Though shape - based method can overcome the blur of boundary, the whole image is not obtained by one time interpolation. Wavelet- based method can overcome the shortcomings of above methods, but much higher computation cost has limited its application.
【CateGory Index】： TP391.41