计算机应用与软件Issue(4)：227-230,249,5.DOI:10.3969/j.issn.1000-386x.2014.04.057
基于Shearlet变换的图像边缘检测
IMAGE EDGE DETECTION ALGORITHM BASED ON SHEARLET TRANSFORM
摘要
Abstract
Existing image edge detection schemes based on special domain or wavelet transform domain can only capture the edges with limited directions but not good at detecting the complex edges.Shearlet transform can decompose the image at any level and in any direction, and can capture more complex edges.Using these characteristics,we propose a new edge detection algorithm which is based on the Shearlet transform and the improved canny operator.The algorithm improves the canny operator,moreover,the adaptive threshold determination method of is proposed as well.According to the multi-scale and multi-directional characteristics of the Shearlet transform,we propose an algorithm that fuses the edge information of multiple sub-images.Experiments show that the algorithm not only improves the integrity and accuracy of edge detection,but also suppresses the noise efficiently.关键词
图像边缘检测/Shearlet变换/改进canny算子/小波变换Key words
Image edge detection/Shearlet transform/Improved canny operator/Wavelet transform分类
信息技术与安全科学引用本文复制引用
岳彦刚,石智,张卓..基于Shearlet变换的图像边缘检测[J].计算机应用与软件,2014,(4):227-230,249,5.基金项目
陕西省自然科学基金项目（2009JM1002）；陕西省教育厅专项科研基金项目（09JK539，11JK0468）。 （）
