Research on Medical Imaging Coding of Fractal Quadtree in Wavelet Domain Based on
Box-Counting Dimension
DU Yang1，FAN Yilu2，QU Xinliang2
1. Department of Railway Power Supply and Electrical Engineering, Shandong Polytechnic, Jinan Shandong 250104, China|
2. Department of Medical Engineering, the First Af?liated Hospital of Shandong First Medical University, Jinan Shandong 250014,
China
Abstract：Objective In order to solve the problem of long matching time and long coding time of traditional method, an improved medical image coding algorithm is proposed. Methods Box-counting dimension was introduced into medical imaging coding of fractal quadtree in wavelet domain. Firstly, wavelet fractal quadtrees and matching trees were constructed, and box-counting dimension was calculated, respectively. The matching tree was selected according to the order of the difference absolute value of the box dimension and the wavelet fractal quadtree box dimension from small to large. The effectiveness of the proposed algorithm was evaluated by simulation study. Results Compared with the traditional wavelet fractal quadtree method, the matching time and coding time of the proposed algorithm were signi?cantly reduced (P<0.05). The simulation results proved the effectiveness of the proposed algorithm. Conclusion The proposed algorithm in this paper is a lossy image compression method, and it is a better one in some cases where the image quality is not exacting.
杜洋1，范医鲁2，曲新亮2. 基于计盒维数的小波分形四叉树医学图像编码研究[J]. 中国医疗设备, 2020, 35(10): 172-175.
DU Yang1，FAN Yilu2，QU Xinliang2. Research on Medical Imaging Coding of Fractal Quadtree in Wavelet Domain Based on
Box-Counting Dimension. China Medical Devices, 2020, 35(10): 172-175.
