基于提升小波和形态学的图像边缘检测算法

基于提升小波变换和形态学的基本理论,提出了一种提升小波和形态学相结合的图像边缘检测算法,算法充分利用了提升小波变换相对于传统小波变换快速而有效的完成小波分解和重构的算法优势。形态学运算在图像处理中具有独特的优势,利用其对图像膨胀和腐蚀的差运算来获取图像的边缘,取得了很好的效果。实验结果表明,算法边缘定位准确,抗噪能力强,检测出的图像边缘连续、平滑,是一种有效的边缘检测方法。

Algorithm of Image Edge Detection Based on Lifting Wavelet and Morphology

Based on lifting wavelet transform and morphology, put forward an image edge detection algo- rithm of lifting wavelet and morphology combination of the algorithm take full advantage of the lifting wavelet transform with respect to the traditional wavelet transform quickly and efficiently completion of the advantages of wavelet decomposition and reconstruction algorithms. Morphological operations in image pro- cessing has unique advantages, this algorithm uses the dilation and erosion of its image difference opera- tion to obtain the edge of the image, and achieved good results. The experimental results show that this al- gorithm edge positioning accuracy, noise immunity, the detected image edge continuous, smooth, and is an effective method of edge detection.