综合特征一致性模型在图像特征检测中的应用  

Application of integral feature congruence model in image features detection

作　　者：严丹[1] 肖志涛[1] 刘进军[1] 马红霞[1] 

机构地区：[1]天津工业大学信息与通信工程学院,天津300160

出　　处：《红外与激光工程》2008年第S2期659-663,共5页Infrared and Laser Engineering

摘　　要：精确检测图像特征是进行图像匹配和识别的关键。针对传统的空域特征检测算子得到的特征对图像的亮度和对比度敏感的缺陷,研究了改进的综合特征一致性模型,并将其应用在图像特征检测中。实验结果表明该算法对图像亮度和对比度具有不变性,并且具有较好的抗噪性能和通用性,符合人类视觉系统特性。Features detection is an important part of image matching and recognition. Aiming at the limitation of the traditional algorithm of features detection in airspace, which is sensitive in image illumination and contrast, the improved integral feature congruence model is applied to detect features from image in this paper. The experiment results indicate that this algorithm is invariant in image illumination and contrast, and this model is robust, general and accords with the human vision system (HVS) characte...

关 键 词：LOG GABOR小波 综合特征一致性 特征检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]