基于生物视觉原理的图像结构信息变化检测方法

为克服多时相遥感图像变化检测中照度差异和配准误差的影响,采用边缘结构信息进行变化检测。利用多方向Gabor函数从图像梯度强度图中提取边缘结构信息,称之为边缘标记(Edge Tag,ET),通过比较多时相遥感图像中ET的互相关系数实现变化检测。为减小差异较小的边缘对检测结果的影响,在相关系数的计算中引入抑制因子。仿真图像和真实图像的实验结果表明,该方法能克服图像照度差异和配准误差对变化检测的影响,取得了较好的检测效果。

Structure Change Detection of Images Based on Biological Vision Principle

Conventional methods to detect changes between temporal images are subject to the effect of illumination variance and registration noise.The edge structure information in image was employed in this paper to detect changes.A new conception based on biological vision principle,called Edge Tag,was introduced to describe the edge structure.After the correlation calculation between two Edge Tags,decision rule was made to locate the outline of changed area.The Edge Tag based change detection was robust to illumination variance and registration noise.Experiments on simulated data and real images verified its superiority.