基于a'trous小波分解的图像边缘检测

边缘特征是图像最为有用的高频信息。边缘检测在图像处理和计算机视觉中起重要作用。本文对小波变换进行了研究,并且分析了小波变换提取图像边缘的原理。为了高质量地进行图像边缘检测,提出了一种基于二阶B样条小波变换的多孔算法提取图像边缘。算法利用B样条小波对图像函数进行小波变换,提取图像边缘,并采用多孔算法防止图像信息丢失。实验结果表明,和传统的边缘检测算法相比,在边缘精度和噪声抑制方面,该算法是有效的。

Image Edge Detection Based on A' trous Wavelet

Edge information is the most important high frequency information of an image. Edge detection plays a very important role in the image processing and computer vision. In this paper, wavelet transform theory is researched, and principle of edge detection based on wavelet transform is analyzed. In order to realize high-quality edge detection for the image, a'trous algorithm based on the quadric B- spline wavelet is advanced for edge detection. A wavelet transform is performed on the image function to detect i...