CAJ | 학술논문

文中研究的目的是通过滤噪来改善图像质量，便于医生分析CT图像和实现计算机辅助诊断对医学图像的预处理。采用均值滤波、中值滤波、自适应滤波算法对医学图像进行噪声处理。不仅提供了算法的程序代码，还通过Matlab平台进行了模拟实验。实验结果表明，均值滤波算法的滤噪能力和保护图像细节能力不及中值滤波算法，自适应中值滤波算法处理效果优于其他两种滤波算法。结论是文中所研究的几种滤波算法在医学图像上滤噪是可行且有效的。
문중연구적목적시통과려조래개선도상질량，편우의생분석CT도상화실현계산궤보조진단대의학도상적예처리。채용균치려파、중치려파、자괄응려파산법대의학도상진행조성처리。불부제공료산법적정서대마，환통과Matlab평태진행료모의실험。실험결과표명，균치려파산법적려조능력화보호도상세절능력불급중치려파산법，자괄응중치려파산법처리효과우우기타량충려파산법。결론시문중소연구적궤충려파산법재의학도상상려조시가행차유효적。
The purpose of this study is to improve image quality to filter the noise and convenient for doctors to analyze CT images and realize the pretreatment of image about computer aided diagnosis. Use average filter, median filter, adaptive median filter algorithm to process the noise of medical image. Not only provide the algorithm’ s program code but also make the simulated experiment by Matlab. Experimental results show that the average filtering algorithm’ s ability of filtering noise and protecting the image detail is less than the median filtering algorithm,adaptive median filtering algorithm processing is better than the other two filtering algorithms. The conclusion is that these noise filtering algorithms are feasible and effective in medical image.