计算机工程与科学2011，Vol.33Issue(8)：117-121,5.DOI:10.3969/j.issn.1007-130X.2011.08.021
基于小波变换的自适应梯度边缘检测算法
An Adaptive Gradient Edge Detection Algorithm Based on Wavelet Transformation
摘要
Abstract
The image edge detection is one of the basic contents in image manipulation and analysis. Against the deficiency of traditonal single edge detection algorithms, e. G. , low anti-noise capacity, discontinuous edge and etc. , this paper proposes a new edge detection method combing two algorithms. Firstly, the original image is transformed by multi-layer wavelet decomposition to obtain respective approximate low frequency and detailed high coefficients. Secondly, for the low frequency part of wavelet decomposition image, an eight-point neighborhood adpative gradient algorithm is used for edge detection, and edge growing is used to ensure edge continuities. For the high frequency part, a wavelet transform partial max algorithm is used to detect the image edge. Next, the edge information of all the layers are combined as a certain rule to get the final edge of image. The results indicate that compared with the traditional edge detection algorithms this proposed method has the advantages of higher precision and signal-to-noise ratio, and it can make image edge extraction more accurate.关键词
小波变换/边缘检测/边缘生长/边缘融合Key words
wavelet transform/edge detection/edge growing/edge fusion分类
信息技术与安全科学引用本文复制引用
靳焕娣,王军锋,张旭勃,杨永永..基于小波变换的自适应梯度边缘检测算法[J].计算机工程与科学,2011,33(8):117-121,5.基金项目
校基金资助项目(108 821091) （108 821091）
