二维多分辨率小波变换在生物图像处理中的应用  

Application of wavelet transform in biological image processing based on Matlab

作　　者：张莉[1] 蔡绍皙[1] 刘冰[1] 蒋稼欢[1] 

机构地区：[1]重庆大学生物工程学院

出　　处：《重庆医学》2007年第23期2399-2400,2403,共3页Chongqing medicine

基　　金：国家自然科学基金(10272122);教育部重点实验室访问学者基金〔重大;校科字(2003)76号文〕。

摘　　要：目的探讨小波变换在生物学图像处理中的应用。方法利用基于多分辨率分析的二维小波变换方法进行图像分解、消噪与图像压缩。结果比较直方图的曲线分布和灰度中心,能从本质上判断图像间的差异;将小波分解系数中置零的系数个数百分比设为93%压缩后,仍保留了原始图像99%的能量。结论二维多分辨率小波变换在图像处理中的应用效果明显,能最大程度反映图像的特征,并有利于图像的保存与传输。Objective To explore the application of wavelet transform in biological image processing. Methods Image discretion,de-noise and image compression were carried out by 2-dimensional wavelet transform with multi-resolution analysis. Results The differences among images could be distinguished essentially by the distribution and center of histogram. The compressed image kept the 99% feature of the original one. Conclusion The application of 2-dimensional wavelet transform with multi-resolution analysis is effective, the characters of image are remained in great extent and the preservation and transmission of image are more convenient.

关 键 词：MADAB 小波变换 图像处理 图像压缩 图像消噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]