计算机工程与应用2012，Vol.48Issue(6)：177-180,189,5.DOI:10.3778/j.issn.1002-8331.2012.06.051
小波变换三阈值多尺度融合边缘检测算法
Improved wavelet-based 3 thresholds and multi-scale integration edge detection algorithm
摘要
Abstract
This paper proposes the 3 thresholds edge detection algorithm based on multi-scale integration in the wavelet domain, the advantage of this method is the excellent anti-noise performance. It gives the concept of gradient direction characteristics utilizing the differences between the edge point and noise point along the gradient direction. First of all, the wavelet transform for the image on the different scale hasbeendone to get gradient information of each pixel. Then it detects the edge point through the non-maximum inhibition method of dual-threshold and the gradient direction characteristics. At the last, the edge extracting results from the integration of the third threshold and the detection results in each scale are obtained. Compared with the classical Canny and Mallat operators, experiments denominate this algorithm not only has the good capacity of edge location, but also can extract the satisfactory results for the image involved with strong noise.关键词
小波变换/多尺度融合/梯度方向/多阈值/边缘检测Key words
wavelets transform/multi-scale integration/gradient direction/multi-threshold/edge detection分类
信息技术与安全科学引用本文复制引用
曾接贤,邢小军..小波变换三阈值多尺度融合边缘检测算法[J].计算机工程与应用,2012,48(6):177-180,189,5.基金项目
国家自然科学基金(No.60675022) （No.60675022）
江西省自然科学基金(No.2008GZS0034) （No.2008GZS0034）
航空科学基金(No.20085556017). （No.20085556017）
