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作 者:陈龙险 CHEN Long-xian(Qinghai College of Architectural Technology,Xining 810012 China)
出 处:《自动化技术与应用》2023年第11期160-164,共5页Techniques of Automation and Applications
基 金:青海建筑职业技术学院院级课题(2020-JK-008)。
摘 要:目前设计的三维表面轮廓图像动态提取系统提取准确度较低,导致提取结果完整度较差。为此,基于区块链技术设计一种新的三维表面轮廓图像动态提取系统。驱动器采用标配的45通信规则,设置多个引脚,实现通信;电源模块设计6个外接端口,滤波器与相连设备通过绝缘螺钉连接。GUS处理器采用英特尔酷睿i7兼容300主板。通过三维动态表面轮廓图像进行预处理操作、计算轮廓、快速提取轮廓图像完成软件流程。实验结果表明,基于区块链技术的三维表面轮廓图像动态提取系统能够有效提高提取准确度,增强提取结果完整度。At present,the accuracy of 3D surface contour image dynamic extraction system is low,which leads to the poor integrity of the extraction results.In order to solve the above problems,a new 3D surface contour image dynamic extraction system is designed based on blockchain technology.In the hardware part of the system,the core of the driver is the driving circuit.The driver adopts the standard 45 communication rules and sets multiple pins to realize communication;Six external ports are designed at the exter-nal end of the power module,and the filter is connected with the connected equipment through insulating screws.It selects Gus processor,which is compatible with Intel Core i7300 motherboard.The software flow is completed by preprocessing the 3D dy-namic surface contour image,calculating the contour and quickly extracting the contour image.The experimental results show that the dynamic extraction system of 3D surface contour image based on blockchain technology can effectively improve the ex-traction accuracy and enhance the integrity of the extraction results.
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