灰度失真、噪声、几何失真等误差因数会影响匹配性能，本文给出了相对应的处理方法。
The error factors such as intensity distortion, noise and geometry distortion will affect matching performance, so the paper gives the opposite processing methods.
依照指定的顺序，根据指定的因数来缩放局部几何转换。
Scales the local geometric transformation by the specified factors in the specified order.
在给定的约束条件下，几何规划算法可以全局性地高效解决电感器各竞争目标（如品质因数与所占面积）之间的优化折中问题。
This algorithm can globally and efficiently solve the tradeoffs between the inductor competing objectives, such as the quality factor and the area.
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