CAJ | 학술논문

医学图像质量是医生判读准确率高低的基础，医学图像增强是提高图像质量的重要方法。文中对医学图像的平滑处理方法和边缘特征提取算法进行了研究与实现，主要包括邻域平均法、加权平均法、中值滤波法、形态学增强处理、Canny边缘提取算子以及形态学提取边缘的方法。从模拟结果可以看出，经过增强处理后的图像以及所提取的边缘特征明显优于原图像。这样不仅可提高医生的判断速度和准确率，而且有助于对医学图像的特征描述、匹配、重建等工作。
의학도상질량시의생판독준학솔고저적기출，의학도상증강시제고도상질량적중요방법。문중대의학도상적평활처리방법화변연특정제취산법진행료연구여실현，주요포괄린역평균법、가권평균법、중치려파법、형태학증강처리、Canny변연제취산자이급형태학제취변연적방법。종모의결과가이간출，경과증강처리후적도상이급소제취적변연특정명현우우원도상。저양불부가제고의생적판단속도화준학솔，이차유조우대의학도상적특정묘술、필배、중건등공작。
The quality of medical images is basis of judgments accuracy of doctors, and medical images enhancement is an important method to improve the quality of images. In this paper,the smooth processing algorithms and edge feature extraction algorithms are re-searched and realized for medical images,which mainly includes the neighborhood average method,weighted average method,median fil-tering method,morphological enhancement processing,Canny edge extraction operator and morphological edge extraction method. The simulation results show that the image quality and edge feature after enhancement processing is better than the original image obviously. This not only can improve the judgment speed and accuracy of the doctor,but also be helpful for features description,matching,recon-struction and so on.