文献类型：期刊文献

中文题名：基于分数阶微分的边界扫描

英文题名：Edge Detection Method Based on Fractional Differential

作者：李丽[1];程海军[2]

第一作者：李丽

机构：[1]新乡学院机电工程学院;[2]河南科技学院新科学院

第一机构：新乡学院机电工程学院

年份：2011

卷号：0

期号：8X

起止页码：5717-5718

中文期刊名：电脑知识与技术

外文期刊名：Computer Knowledge and Technology

语种：中文

中文关键词：分数阶微分;边缘检测;微分阶数;掩膜模板

外文关键词：fractional differential;edge detection;differential order;cover module

摘要：针对基于传统整数阶微分的边缘检测算子对噪声敏感的缺点,由信号的微分特性得出了基于分数阶微分的边缘检测算法。根据经典的G-L分数阶微分定义推导出的分数阶差分方程,构造了几种常见的模板算子对图像进行卷积运算提取图像边缘信息。实验表明,基于分数阶微分的边缘检测算法比整数阶微分算子能更好的提取边缘信息,同时具有更高的信噪比。
To overcome the defects of sensitive to noise of edge detection opera tor based on traditional integral differential approach,obtained edge detection algorithm based on fractional differential according to differential characteritics of signal.According to fractional order differential difference function which was deduced from classical fractional differential G-L definition,several common templates was constructed,which ecxtracted edge information by convolution on image.Experiments shows that edge detection method based on fractional differential can effectively extract edge information and has higher SNR than traditional operators.