摘要
为解决拉普拉斯和梯度等类算子提取图像边缘时算法复杂、程序化实现较为困难的问题,提出了一种新的横向和纵向模板算法,通过仿真实验,获得了优于梯度算子提取图像边缘的结果。并对以上算法进行改进,在边缘图像信息衰减微小的情况下,有效地改善了图像边缘的提取时间。利用该算法,对图像定位与匹配等领域进行了进一步的研究。
A new horizontal template and vertical template algorithm is proposed in view of the algorithm complexity and programming difficulty using Laplacian operator and gradient operator extracting image edge.By simulation experiment,the image edge is extracted which is better than the edge image using gradient operator extraction.By improving the algorithm,the time of Image Edge Extraction is reduced with little image Information missing.The algorithm provides valuable reference for further research into the locating and matching of image.
出处
《电子科技》
2011年第7期92-96,共5页
Electronic Science and Technology
关键词
图像处理
图像边缘提取
模板算法
横向模板
纵向模板
image process
edge extraction
template algorithm
horizontal template
vertical template
