基于量子衍生的遥感图像边缘检测方法

Quantum-Inspired Remote Sensing Image Edge Detection Methods

针对遥感图像结构精细复杂,对其进行边缘检测,需要精确度更加高的边缘检测算子的问题,提出了一种基于量子衍生的边缘检测算法。该算法结合量子测量原理与条件中值滤波对图像进行滤波处理,利用量子叠加态理论来构造边缘检测算子,并结合Canny算法的非极大值抑制思想,得到最终的边缘二值化图像。仿真结果表明,提出的边缘检测算法具有良好的检测精度和抗噪性能。

A quantum-inspired edge-detection algorithm is proposed for the fact that the edge detection of complex remote sensing images requires higher-accurate edge detection operator.The algorithm combines with quantum detection theory and conditional median filter,performs filtering processing to images,and then use quantum superposition state theory to construct the edge detection operator.Finally non-maximum suppression methods of Canny Algorithm are combined to obtain the edge-binary image. Simulation results show that the proposed edge-detection algorithm enables better detection accuracy and anti-noise performance.