虹膜钠环检测算法

摘要

钠环是计算机辅助虹膜诊断中十分重要的特征之一，它与身体中胆固醇含量的高低有密切的联系。给出了一种基于HSI空间的虹膜钠环检测算法，首先将虹膜与巩膜、睫毛及眼睑进行分割，以减少其对钠环检测造成的遮挡影响；其次将环型虹膜图像做矩形展开处理，以减小钠环的检测范围；最后在 HSI 空间下，对矩形虹膜图像的色调、饱和度进行分析，通过将H、S分量进行数据融合完成对钠环的自动检测，实验证明了该算法能够实现对钠环地准确检测。%Sodium loop is one of the most important characteristics in computer-aided diagnosis of iris. It is related to the discretion of the cholesterol content in the body closely. This paper presents a algorithm of iris sodium loop detection under the space of HSI, Firstly, Segmenting the iris with sclera, eyelash and eyelid to complete feature selection, in order to reduce the shade of effects on the detection of sodium. Secondly, do the rectangular expansion process on iris image, to reduce the sodium loop detection range. Finally, under the HSI space, analyzing rectangular iris image's hue and saturation. Through the data fusion of H, S component to complete the sodium loop detection automatically, Experimental results show that the algorithm can achieve accurate detection of sodium loop.