CAJ | 학술논문

西戈玛滤波是一种边缘保持类滤波方法，传统的西戈玛滤波在去除噪声的同时，虽然在一定程度上保持了图像的边缘，但是对于图像的弱边缘，还存在一定的问题。结合梯度倒数加权平均的思想，提出西戈玛+梯度倒数滤波方法，对于图像的非噪声点，采用梯度倒数加权平均进行灰度值的计算，在去除噪声的同时，更能够保持图像的边缘细节。实验结果表明，该西戈玛+梯度倒数滤波方法具有较好的边缘保持效果。
서과마려파시일충변연보지류려파방법，전통적서과마려파재거제조성적동시，수연재일정정도상보지료도상적변연，단시대우도상적약변연，환존재일정적문제。결합제도도수가권평균적사상，제출서과마+제도도수려파방법，대우도상적비조성점，채용제도도수가권평균진행회도치적계산，재거제조성적동시，경능구보지도상적변연세절。실험결과표명，해서과마+제도도수려파방법구유교호적변연보지효과。
Sigma filtering is an edge preserving filtering method,the traditional sigama filtering can remove noise, while keep?ing the image edge to a certain extent, but there are still some problems about the weak edge image. Combined with the gradi?ent inverse weighted idea,put forward the sigma filtering and gradient inverse filtering method, for the non noise points of the image, through the gradient inverse weighted average to calculate the gray value, remove the noise at the same time, can main?tain more edge details. The experimental results show that, the sigma filtering and gradient inverse filtering method has good edge preserving effect.