基于小波变换在图像处理中的应用

摘要

小波变换被广泛接受的图像处理作为一种有效的和有前途的方法。本文根据遥感图像的多分辨率和多尺度特点，利用边缘提取对不同图像进行处理，并对上述结果对比分析认为：利用小波变换进行遥感图像边缘提取，须先对图像进行小波变换，然后用二进小波变换模的部分极大值来完成信号突变点位置及其异性大小，实现图像的边缘特征提取。本文中用多维度上二进小波变换图像边缘特征提取方法应用于遥感图像样本的仿真实验，获得了比较好的结果。%Wavelet transform is used as an effective and promising method in the widely accepted image processing. Based on the multi resolution and multi scale features of remote sensing image, edge extraction is used to deal with the different images. The comparative analysis of the above results shows that the wavelet transform must be carried out for the image to carry out the remote sensing image edge extraction by wavelet transform. Then, the position of the signal mutation point and the size of the opposite sex are completed by using the partial maximum of the two wavelet transform modulus to achieve the image edge feature extraction. This paper uses the method of multi dimension two wavelet transform to image edge feature extraction, which is applied to the simulation experiment of remote sensing images, and obtains good results.