电子学报 ›› 2013, Vol. 41 ›› Issue (10): 1873-1880.DOI: 10.3969/j.issn.0372-2112.2013.10.001
• 学术论文 • 下一篇
陈青1,3, 刘金平1,2, 唐朝晖1, 李建奇1, 吴敏1
收稿日期:
2013-01-21
修回日期:
2013-08-01
出版日期:
2013-10-25
通讯作者:
作者简介:
基金资助:
国家自然科学基金 (No.61071176,No.61171192,No.61272337; No.61134006)
CHEN Qing1,3, LIU Jin-ping1,2, TANG Zhao-hui1, LI Jian-qi1, WU Min1
Received:
2013-01-21
Revised:
2013-08-01
Online:
2013-10-25
Published:
2013-10-25
Supported by:
摘要: 图像边缘细节包含重要的视觉感知信息,是进一步进行图像理解与场景感知的基础.针对常用的边缘梯度检测方法难以有效提取类似于分形纹理结构的复杂图像边缘问题,提出一种基于分数阶微分的图像边缘检测方法.该方法首先基于分数阶微分的性质进行图像拐点检测,并进一步结合拉格朗日多项式插值和Grumwald-Letnikov(G-L)分数阶微分的定义,推导出具有非整数步长像素信息的图像边缘检测算子.实验表明,该方法能有效提取图像中的边缘细节(拐点)特征.对被噪声严重污染的具有复杂边缘细节的图像,该算子同样具有较好的边缘细节检测能力,获得更好的视觉效果.
中图分类号:
陈青, 刘金平, 唐朝晖, 等. 基于分数阶微分的图像边缘细节检测与提取[J]. 电子学报, 2013, 41(10): 1873-1880.
CHEN Qing, LIU Jin-ping, TANG Zhao-hui, et al. Detection and Extraction of Image Edge Curves and Detailed Features Using Fractional Differentiation[J]. Acta Electronica Sinica, 2013, 41(10): 1873-1880.
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