摘要
为了协助医务人员更正确、更容易地诊断疾病,医学图像增强变成了一种重要的研究领域。文中提出了一种结合小波变换和同态滤波方法进行图像增强的方法,利用Mallat算法对医学图像进行处理,分解后的高频分量采用改进的非线性变换和直方图均衡化进行处理,把处理后的高频分量和低频分量进行重构;对重构后的医学图像进行同态滤波增强。通过多次实验表明,与其他传统的图像增强方法结果相比,所提方法较好地保留了图像的边缘和轮廓,增强了图像细节和各种轮廓,视觉效果比较好。
In order to assist medical personnel to diagnose diseases more accurately and more easily,medical image enhancement has become an important area of research.This paper proposes a method for image enhancement combining wavelet transform and homomorphic filtering.The medical image is processed using the Mallat algorithm.The decomposed high-frequency components are processed using improved non-linear transformation and histogram equalization,and the processed high-frequency and low-frequency components are reconstructed.The reconstructed medical images are processed.Homomorphic filtering enhancement.Through multiple experiments,it is shown that compared with the results of other traditional image enhancement methods,this method better retains the edges and contours of the image,enhances the image details and various contours,and has better visual effects.
作者
玛利亚木古丽·麦麦提
吐尔洪江·阿布都克力木
阿卜杜如苏力·奥斯曼
阿则古丽·图如普
Maliyamuguli MAMAITI;Turghunjan ABDUKIRIM;Abudurusuli AOSIMAN;Azeguli TURUPU(Collage of Mathematical Sciences,Xinjiang Normal University,Urumqi 830017,China;Key Laboratory of Mathematics Teaching Resources Development of Xinjiang Normal University,Urumqi 830017,China)
出处
《电子设计工程》
2020年第24期1-5,共5页
Electronic Design Engineering
基金
国家自然科学基金资助项目(11261061,61362039,10661010)
新疆维吾尔自治区自然科学基金资助项目(200721104)
新疆师范大学数学教学资源开发重点实验室招标课题(XJNUSY082017B03)。
