文件名称:fuctionevaluateimagedefinition
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分析了梯度函数 频谱函数和熵函数在自动对焦技术中的作用 并研究了评价函数的性能 实验表明 梯度函数具有运算速度快的优点 适用于需要实时成象的场合 而频谱函数具有灵敏度高 曲线尖锐的特点 能够满足高精度的要求
-Analysis of the gradient function spectrum function and entropy function in the auto-focus the role of technology and to study the performance of the evaluation function experiments show that the gradient function has the advantage of faster computing applied to the needs of real-time imaging of occasions and the spectrum function with high sensitivity and sharp curves characteristics to meet the requirements of high-precision
-Analysis of the gradient function spectrum function and entropy function in the auto-focus the role of technology and to study the performance of the evaluation function experiments show that the gradient function has the advantage of faster computing applied to the needs of real-time imaging of occasions and the spectrum function with high sensitivity and sharp curves characteristics to meet the requirements of high-precision
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数字图象清晰度评价函数研究.pdf