基于Vague集的特征不确定性建模及相以度求解

摘要

受图像噪声和特征提取方法不稳定性等的影响,特征提取结果存在不确定性,它降低了同名特征之间的相似程度,增大了匹配模糊性.如果忽略这种不确定性,可能会造成匹配精度的降低,甚至导致匹配的失败.为此,本文对图像配准中常用特征的属性参数不确定性进行了分析和建模,并提出了一种基于Vague集的不确定性特征相似度求解方法.本文的理论成果可以应用于图像配准和目标识别等领域中牵涉到的特征匹配问题中.%For the influences of noises and feature extraction method, uncertainties are exiting in the extracted features, which decrease the degree of similarity between corresponding features, and enlarge the matching illegibility. If the uncertainties are not analyzed, they may decrease the accuracy of matching and even lead to a failure. Hence,the paper analyses and models the uncertainties of the features,and then proposes a method which bases on Vague sets to compute the similarity between features with uncertainties. The study result can be used in the fields of image registration and target recognition which relate to feature matching.