一种基于Gabor奇部滤波器的边缘检测方法  

Gabor filter based edge detection

作　　者：米日班·买吐地 吐尔洪江·阿布都克力木[1] Miriban Matturdi;Turghunjan Abdukirim(College of Mathematical Sciences,Xinjiang Normal University,Urumqi 830017,China)

机构地区：[1]新疆师范大学数学科学学院

出　　处：《电子设计工程》2019年第23期12-16,共5页Electronic Design Engineering

基　　金：国家自然科学基金资助项目(11261061;61362039;10661010);新疆维吾尔自治区自然科学基金资助项目(200721104);新疆师范大学数学教学资源开发重点实验室招标课题(XJNUSY082017B03)

摘　　要：J.G.Daugman证明了Gabor滤波器能够实现联合最小不确定性。应用这些研究结果,研究人员开发了基于Gabor滤波器的计算模型,并将其应用于底层视觉任务中,如边缘检测、纹理分类和数据压缩等。文中利用J.F.Canny提出的检测方法来研究基于Gabor奇部滤波器模型的边缘检测的性能。基于此性能分析,提出Gabor奇部滤波器模型边缘检测的设计准则。结果表明,利用其准则实现的仿真效果证明了基于Gabor奇部滤波器模型的边缘检测的性能。Daugman proved that Gabor filters achieve joint minimal joint uncertainty.These results led researchers to develop computational models based on Gabor filters for several low-level vision appilications such as egde detection,texture classification,optical flow estimation and date compression.In this paper,the performance of a Gabor odd filter-based edge detector is investigated using the measures proposed by canny.Based on this performance analysis a design criterion for a Gabor odd filterbased edge detector is drived.The results show that the performance of edge detection based on Gabor odd filter is proved by the simulation results.

关 键 词：Gabor奇滤波器 滤波器设计 阶跃边缘 边缘检测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]