一种基于矩不变的离焦测距算法的研究

Research on the Algorithm of Depth from Defocusing Based on Moment-preserving

基于矩不变的离焦测距算法利用矩不变原理,通过测量图像边缘的模糊半径来估计摄像机镜头到物体的距离,该算法不需计算镜头的点扩散函数,对于较复杂的物体也是有效的,受光照变化的影响较小。并在该算法中采用了基于梯度幅值的自适应边缘检测方法,通过试验验证,提高了距离估测的准确程度。

The Algorithm of Depth from Defocusing based on moment-preserving uses moment-preserving principle and estimates the distance between camera lens and subjects through measuring the blurring radius of the image edge.The algorithm doesn＇t need calculating the point spread function of the optical system,is valid for more complex objects,and subject to less effect from varying illumination.In the algorithm an adaptive edge-detection method based on the gradient magnitude is used.Through experimental validation,it can improve the accuracy of the distance estimation.