CAJ | 학술논문

将像素离群度与传统非局部均值算法相结合提出一种改进型的非局部均值滤波Q-NLM算法，针对传统非局部均值算法不适应脉冲噪声去噪的问题，提出了像素离群度Q的概念，像素离群度Q值用于判断原像素与脉冲噪声的相似度，依据像素离群度Q值划分像素区域，调整不同区域阈值且引入中值滤波去除脉冲噪声点，进一步降低医学图片中混合噪声对滤波的影响。仿真实验结果显示，这种结合离群度与非局部均值算法在去除混合噪声的情况下，能较好提高图像信噪比，有效保留CT图像细节。
장상소리군도여전통비국부균치산법상결합제출일충개진형적비국부균치려파Q-NLM산법，침대전통비국부균치산법불괄응맥충조성거조적문제，제출료상소리군도Q적개념，상소리군도Q치용우판단원상소여맥충조성적상사도，의거상소리군도Q치화분상소구역，조정불동구역역치차인입중치려파거제맥충조성점，진일보강저의학도편중혼합조성대려파적영향。방진실험결과현시，저충결합리군도여비국부균치산법재거제혼합조성적정황하，능교호제고도상신조비，유효보류CT도상세절。
The pixel quotient is combined with traditional nonlocal means algorithm, putting forward a kind of improved nonlocal means filtering algorithm. That is Q-NLM. In allusion to the problem of the impulsive noise in the traditional nonlocal means algorithm, the concept of the pixel quotient Q is come up with. It is used for judging the similarity of the initial pixel and impulse noise, and according to the calculated Q to divide pixel areas, the median filter is brought in to re-move impulse noise points while adjusting different area threshold. Thus it can further reduce the influence of the mixed noise on filter in medical images. The relevant simulation experiment results show that the combination of the pixel quotient with traditional nonlocal means algorithm can improve the image PSNR, effectively keep the details of CT image while removing the mixed noise.