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Design of Measuring System for Wire Diameter Based on Sub-pixel Edge Detection Algorithm

机译:基于亚像素边缘检测算法的线径测量系统设计

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Light projection method is often used in measuring system for wire diameter, which is relatively simpler structure and lower cost, and the measuring accuracy is limited by the pixel size of CCD. Using a CCD with small pixel size can improve the measuring accuracy, but will increase the cost and difficulty of making. In this paper, through the comparative analysis of a variety of sub-pixel edge detection algorithms, polynomial fitting method is applied for data processing in measuring system for wire diameter, to improve the measuring accuracy and enhance the ability of anti-noise. In the design of system structure, light projection method with orthogonal structure is used for the detection optical part, which can effectively reduce the error caused by line jitter in the measuring process. For the electrical part, ARM Cortex-M4 microprocessor is used as the core of the circuit module, which can not only drive double channel linear CCD but also complete the sampling, processing and storage of the CCD video signal. In addition, ARM microprocessor can complete the high speed operation of the whole measuring system for wire diameter in the case of no additional chip. The experimental results show that sub-pixel edge detection algorithm based on polynomial fitting can make up for the lack of single pixel size and improve the precision of measuring system for wire diameter significantly, without increasing hardware complexity of the entire system.
机译:线径测量系统中经常采用光投射法,其结构较为简单,成本较低,其测量精度受到CCD像素尺寸的限制。使用像素尺寸小的CCD可以提高测量精度,但是会增加成本和制造难度。本文通过对多种亚像素边缘检测算法的比较分析,将多项式拟合方法应用于线径测量系统中的数据处理,以提高测量精度,增强抗噪能力。在系统结构的设计中,采用正交结构的投光法检测光学部件,可以有效减少测量过程中因线路抖动引起的误差。在电气部分,ARM Cortex-M4微处理器用作电路模块的核心,它不仅可以驱动双通道线性CCD,而且可以完成CCD视频信号的采样,处理和存储。此外,在没有附加芯片的情况下,ARM微处理器可以完成整个线径测量系统的高速操作。实验结果表明,基于多项式拟合的亚像素边缘检测算法可以弥补单个像素尺寸的不足,并在不增加整个系统硬件复杂度的前提下,大大提高了线径测量系统的精度。

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