Zolfagharnasab Hooshiar, Naghsh-Nilchi Ahmad Reza
Department of Computer Engineering, University of Isfahan, Isfahan, Iran.
J Med Signals Sens. 2014 Jan;4(1):1-9.
In this paper, a novel matched filter based on a new kernel function with Cauchy distribution is introduced to improve the accuracy of the automatic retinal vessel detection compared with other available matched filter-based methods, most notably, the methods built on Gaussian distribution function. Several experiments are conducted to pick the best values of the parameters for the new designed filter, including both Cauchy function parameters as well as the matched filter parameters such as the threshold value. Moreover, the thresholding phase is enhanced with a two-step procedure. Experimental results employed on DRIVE retinal images database confirms that the proposed method has higher accuracy compared with other available matched filter-based methods.
本文介绍了一种基于具有柯西分布的新核函数的新型匹配滤波器，与其他现有的基于匹配滤波器的方法相比，特别是基于高斯分布函数构建的方法，该滤波器提高了视网膜血管自动检测的准确性。进行了多项实验以选取新设计滤波器的最佳参数值，包括柯西函数参数以及匹配滤波器参数（如阈值）。此外，通过两步过程增强了阈值化阶段。在DRIVE视网膜图像数据库上进行的实验结果证实，与其他现有的基于匹配滤波器的方法相比，该方法具有更高的准确性。
