基于二进小波变换的医学图像分割方法研究  

Research on medical image segmentation based on dyadic wavelet transform

作　　者：玛利亚木古丽·麦麦提 MAIMAITI Maiyamugui(College of Mathematics and Statistics,Kashi University,844000,Kashi,Xinjiang)

机构地区：[1]喀什大学数学与统计学院,新疆喀什844000

出　　处：《长江信息通信》2024年第3期58-59,76,共3页Changjiang Information & Communications

基　　金：新疆维吾尔自治区自然科学基金资助项目(2022D01A14);新疆维吾尔自治区高校科研计划项目自然科学青年项目(No.XJEDU2021Y032)。

摘　　要：文章分两个部分,第一部分是预处理部分:医学图像增强部分,第二部分是文章的主要研究部分:基于二进小波的医学图像分割部分,该部分中先对脑白质图像直接进行分割,并把实验结果作为参考图a1,然后对脑白质图像先进行参考文献[7]所研究的图像增强,对于增强得到的图像进行基于二进小波的图像分割,把实验结果看作参考图a2,并对参考图a1和图a2进行比较。由分割结果和白质差异图可以发现,先对图像进行增强,然后对结果图进行基于二进小波变换的脑白质分割,其结果比前者更佳且更准确。The paper is divided into two parts.The first part is the preprocessing part:the medical image cnhancement part;the second part is the main research part:the medical image segmentation part based on binary wavelet.In the part,the white matter image of the brain is segmsegmed directly and the experimental results are used as the reference figure al.Then,the image enhancement studied in reference[7]is first carried out on the white matter images of the brain,and the imagc scgmcntation bascd on binary wavelet is carricd out on the cnhanced images.The experimental results are regarded as reference figure a2,and the reference figure al and Figure a2 are compared.According to the segmentation results and the white matter difference map,it can be found that the results of white matter segmentation based on binary wavelet transform after image enhancement are better and more accurate than the former.

关 键 词：二进小波 医学图像 图像增强 图像分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]