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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >Searching algorithm of theodolite auto-focusing based on compound focal judgment
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Searching algorithm of theodolite auto-focusing based on compound focal judgment

机译:基于复合焦点判断的经纬仪自动聚焦搜索算法

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摘要

Focusing of search judgment is one of the important parts of theodolite image measurement. Traditional hill-climbing search algorithm cannot usually focus accurately due to the interference of the evaluation function of the local extremum affected by measuring environment, such as light illumination. A compound auto-focal judgment combining image definition evaluation function and modulation transfer function (MTF) auxiliary function was introduced to improve the hill-climbing method. Definition evaluation function and MTF values of images were considered to judge the search direction together. Slanted-edge method was improved to calculate the image MTF values accurately based on the auto-selection of slanted-edge area. Lastly, the principle and implementation of the improved algorithm were given. In the theodolite auto-focusing system, the system imaging effect was validated, and different initial position and circumstances were considered using the proposed searching algorithm. The experiment results of theodolite auto-focus system show that the improved hill-climbing search algorithm can effectively eliminate the local extremum disturbance and make the system search focusing accurate and reliable.
机译:搜索判断的重点是经纬仪图像测量的重要部分之一。传统的爬山搜索算法通常由于受测量环境(例如光照)影响的局部极值评估功能的干扰而通常无法准确地聚焦。为了改进爬山方法,引入了一种结合了图像清晰度评价功能和调制传递函数(MTF)辅助功能的复合自动对焦判断方法。考虑图像的清晰度评估函数和MTF值,共同判断搜索方向。改进了斜边方法,可以根据斜边区域的自动选择准确计算图像的MTF值。最后给出了改进算法的原理和实现。在经纬仪自动聚焦系统中,验证了系统成像效果,并使用提出的搜索算法考虑了不同的初始位置和情况。经纬仪自动聚焦系统的实验结果表明,改进的爬山搜索算法可以有效消除局部极值干扰,使系统搜索聚焦准确可靠。

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