基于定量评价准则的凝胶图像清晰度评价研究.pdfVIP

学兔兔 第1O卷第4期 中 国 工 程 机 械 学 报 V01．1O No．4 2012年12月 CHINESE J0URNAL OF C0NsTRUCT10N MACHINERY Dec．2012 基于定量评价准则的凝胶图像清晰度评价研究 陆敏恂，张思洋，周爱国 (同济大学机械与能源工程学院，上海 201804) 摘要：针对前人提出的图像清晰度评价方法的定性评价准则具有主观性、模糊性等不足，给出了数学化的定量 评价准则．依据此准则，结合凝胶生物图像的独特性，合理选取某些图像清晰度评价方法，通过实验对比分析各 种方法的评价性能．基于微软基础类(MFC)和凝胶成像设备的实验结果表明，定量评价准则在保持与定性评价 准则结果一致性之外，更具客观性和准确性，并得出灰度平方差分评价方法在凝胶成像自动聚焦系统的实现中 表现出最优的聚焦指导性能． 关键词：凝胶图像；自动聚焦；聚焦评价函数；定量评价准则；聚焦指导 中图分类号：TN 911．73 文献标志码：A 文章编号：1672—5581(2012)04—0398—05 Quantitative—evaluation—criterion—based gel image sharpness evaluation LUMin—xun，ZHANG Si一 ，ZHOUAi．guo (School of Mechanical Engineering，Tongji University，Shanghai 201804，China) Abstract：Due that the existing qualitative evaluation criteria of image sharpness evaluation methods possess such disadvantages as subjectivity and fuzzy，the mathematical quantitative evaluation criteria are postulated．In combination with the uniqness of gel biological images，specific image sharpness evaluation methods are rationally selected．Through experiments，the evaluation performances of various methods are contrasted and analyzed．Therein，it is indicated from experimental results via Microsoft Foundation Class (MFC)and gel imaging device that，besides the quantitative evaluation criteria are accorded to the qualitative evaluation criteria，they possess better objectivity and accuracy．In addition，the best focus— guiding performance can be realzied by the gray square difference evaluation method for auto—focus g