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小波变换在医学图像边缘检测中的应用

Application of wavelet transform in edge detection of medical image
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摘要 边缘检测是医学图像处理中的一项基本内容.正确提取医学图像的边缘特征,无论对于描述目标还是解释图像都是十分关键的.由于小波变换具有良好的局部特性和多分辨率的特点,将基于小波变换的边缘检测方法应用于医学图像的边缘提取.实验结果表明,该方法不仅能有效地检测图像边缘,并且对噪声有良好的鲁棒性. Edge detection is basic in medical image processing since it is very important to extract edge from medical images exactly either for describing objects or for interpreting images. Wavelet trans- form has some good pro method based on wavelet experiments showed that the additional noise. perties such as localization and multi reso transform to extract the this method could detect edge of medical the image edge lution. A mage was efficiently n image edge detection introduced. Results of and would be robust to the additional noise.
作者 陈欣 楼玉萍
出处 《浙江师范大学学报(自然科学版)》 CAS 2005年第3期265-268,共4页 Journal of Zhejiang Normal University:Natural Sciences
关键词 小波变换 医学图像 边缘检测 噪声 wavelet transform medical image edge detection noise
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参考文献6

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