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On the optimizing weighting apparatus in active image processing

On the optimizing weighting apparatus in active image processing
主动图像处理中的优化加权装置
批准号:
09650070
负责人:
IKUTA Takashi
金额:
$2.05万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
1997
资助国家:
日本
项目状态:
已结题
起止时间:
1997 至 1998

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中文摘要
翻译
本研究基于《有源调制图像处理中的优化问题(科学研究资助(C)1994-1995)》的理论研究成果,旨在构建一个通用的优化加权装置,以验证优化加权技术在调制光谱及其扩展--主动调制图像处理中的实用性。还构建了信号源模拟器来替代实际的光谱仪。这种优化的加权系统包含一个用于数字加权的可变增益放大器、一个信号积分器、一个用于输入信号的实时方差估计器和一个用于加权停留时间的调制控制器。该系统由两台个人计算机控制,在下一阶段(1998),对信号源模拟器进行了改造和编程,以获得更多的第一响应。在电子能谱情况下,利用该信号源模拟器对提高系统的信噪比进行了评价。此外,针对活动图像处理的优化加权问题,建立了基本的理论处理方法。我们期望将这种优化的加权技术应用于透射式电子显微镜的球差校正。由于信噪比的提高在这一领域是非常重要的,所以这种优化的加权具有重要的实际意义
英文摘要
The present study is based on results of the theoretical study, 'optimizing problems in active modulation image processing ( Grant-in-aid for scientific research (C) 1994-1995 )' The aim of this study is the construction of a universal optimized weighting apparatus to confirm the practicability of the optimized weighting technique for the modulation spectroscopy and its extension, the active modulation image processing.According to this aim, a universal optimized weighting apparatus for the modulation spectroscopy was designed and constructed at the first stage (1997) of this study. A signal source simulator was also constructed as substitute for actual spectrometers. This optimized weighting system contains a variable gain amplifier for the numerical weighting, a signal integrator, a real time variance estimator for the input signal, and a modulation controller for the time of stay weighting. This system was controlled by 2 personal computers.In the next stage (1998), the signal source simulator was reconstructed and programmed to get more first response. Evaluations for the improvement of the signal to noise ratio of this system were tried using this signal source simulator under the situation of the electron spectroscopy. In addition to this, a basic theoretical treatment was established with respect to the optimized weighting for the active image processing. We are expecting to apply this optimized weighting technique for the spherical aberration correction of the transmission electron microscope. Since the improvement of the signal to noise ratio is very important in this field, such optimized weighting has great significance in practice
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