二值形态学边缘检测算法的量子实现及仿真  

Quantum realization and simulation of edge detection algorithm based on binary morphology

作　　者：董跃华[1] 张先光 DONG Yuehua;ZHANG Xianguang(School of Information Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China)

机构地区：[1]江西理工大学信息工程学院,江西赣州341000

出　　处：《量子电子学报》2023年第5期654-665,共12页Chinese Journal of Quantum Electronics

摘　　要：为进一步完善量子计算机图像边缘检测算法,结合IBM Q平台上的量子计算操作,提出了量子图像二值形态学边缘检测算法。在NEQR量子二值图像表示和量子二值腐蚀和膨胀操作的基础上,设计并实现了相应的二值形态学去噪处理量子电路和边缘提取量子电路。通过Qiskit扩展在虚拟本地量子模拟器上实现了8×8和128×128大小的量子图像二值形态学边缘检测,同时在IBM Q平台的真实云端量子模拟器上实现了8×8大小的量子图像对比仿真实验,实验结果证明了量子图像二值形态学边缘检测算法的可行性与有效性。In order to further improve the research and development of image edge detection algorithm on quantum computer,a quantum image binary morphological edge detection algorithm is proposed combining with quantum computing operation on IBM Q platform.Based on the NEQR quantum binary image representation and quantum binary etching and expansion operations,the corresponding binary morphologic smoothing filtering quantum circuit and edge extraction quantum circuit are designed and implemented.And then through Qiskit extension,the binary morphological edge detection of quantum images with sizes of 8×8 and 128×128 is realized on the virtual local quantum simulator of IBM Q platform.Meanwhile,the comparative simulation experiment of quantum images with a size of 8×8 is also realized on the real cloud quantum simulator of IBM Q platform.The experimental results prove the feasibility and effectiveness of the binary morphological edge detection algorithm for quantum image.

关 键 词：量子图像处理 边缘检测 二值形态学 NEQR模型 IBM Q平台 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]