基于边缘检测和图像分割的超声诊断机器人控制系统设计

Design of Ultrasonic Diagnosis Robot Control System Based on Edge Detection and Image Segmentation

摘要:

传统的超声诊断机器人控制系统数据接收量小，控制有效率低，为了解决上述问题，基于边缘检测和图像分割研究了一种新的超声诊断机器人控制系统，系统设计硬件设计部分将硬件理论划分为四个模块进行操作，首先利用RFM63系列无线通信模块加大对数据信息的初步连接力度，提升获取信息的准确性，接着选取角度传感器改善控制系统内部传感角度，为系统操作增加有利信息，利用性能较好的陀螺仪与加速度计对数据进行控制处理，优化传统控制系统，增强数据传导与传输性能，最后选择相应的微控制器进行系统核心控制，以此完成系统硬件设计操作，并在硬件设计的基础上对系统软件进行处理，掌控数据基本信息，同时根据不同的数据控制需求加大数据操控，简便程序设计步骤，缩减系统运行时间，提升控制效率，进而获取效果更佳的软件设计操作。实验结果表明，给出的系统数据接收量平均提高了15.21%，控制有效率增强了22.52%，该设计能够获取较为精准的数据信息，缩减了控制系统的操控时间，减少投入消耗，具备更好的发展前景。

Abstract:

The traditional ultrasonic diagnostic robot control system has a small amount of data reception and low control efficiency. In order to solve the above problems, a new ultrasonic diagnostic robot control system is studied based on edge detection and image segmentation. The hardware design part of the system design divides the hardware theory into Four modules are used for operation. First, the RFM63 series wireless communication module is used to increase the initial connection of data information to improve the accuracy of the obtained information. Then, the angle sensor is selected to improve the internal sensing angle of the control system. The gyroscope and accelerometer with better performance control and process the data, optimize the traditional control system, enhance the data transmission and transmission performance, and finally select the corresponding microcontroller for system core control to complete the system hardware design operation. Based on the design, the system software is processed to control the basic information of the data. At the same time, the data control is increased according to different data control requirements. The program design steps are simplified, the system operation time is reduced, the control efficiency is improved, and a better software design is obtained. Operation. The experimental results show that the average system data reception amount is increased by 15.21%, and the control efficiency is increased by 22.52%. The design can obtain more accurate data information, reduce the control system control time, reduce investment consumption, and have better Development prospects.