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Research on image definition function use in a real-time autofocusing system

机译:实时自动聚焦系统中图像定义功能的研究

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Real time auto-focus systems based on image analyzing are different from other auto-focus systems based on range measuring in high precision of focusing and low accuracy demand of assembling and manufacturing the parts. To construct a real time auto-focus system based on image pattern recognition, the key is foundation of image definition and preprocessing methods for original image. The paper puts forward an image definition function arithmetic combining the power spectrum based on FFT with the wavelet filter based on Meyer's wavelet. Fast FFT can be realized with specialized hardware. It can improve the computing speed of image definition function and provide the auto-focus system based on image analyzing with a fine real time and high accurate model.
机译:基于图像分析的实时自动聚焦系统与基于高精度的范围测量的基于图像分析的自动聚焦系统不同,零件的高精度和低精度需求组装和制造零件。要构建基于图像模式识别的实时自动对焦系统,键是原始图像的图像定义和预处理方法的基础。本文提出了一种基于FFT的基于Meyer小波的小波滤波器基于FFT的电功率谱的图像定义函数算术。快速FFT可以用专用硬件实现。它可以提高图像定义函数的计算速度,并根据具有精细实时和高精度模型的图像分析提供自动对焦系统。

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