综合特征一致性模型及其在图像特征检测中的应用

Integral feature congruence model and its application in image feature detection

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,本研究综合特征一致性模型进行噪声补偿,得到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.

Aiming at the defect obtained features with sensitivity to illumination and contrast of the image in the traditional airspace features detection algorithm,the integral feature congruence model with noise compensation is proposed and is applied in image features detection.The experiment results show that the model does not change the illumination and contrast,has commonality and noise immunity,and corresponds to the characteristics of human vision system.