log-log transformation

基本解釋

Since the source document is the log file, no information is lost in the transformation, and it is trivial to re-create exactly the original format from the XML.
因?yàn)樵次臋n是日志文件，在轉(zhuǎn)換中無信息丟失，而從 XML 重新創(chuàng)建原始格式的文檔非常繁瑣。
A method proposed in this paper avoids the log-transformation in view of its drawbacks, specially the log-ratio transformation, but normalizes the data after background correction.
鑒于對數(shù)轉(zhuǎn)換的缺點(diǎn)，本研究提出一種非轉(zhuǎn)換方法，即背景校正后直接進(jìn)行數(shù)據(jù)標(biāo)準(zhǔn)化。
Aiming at this question, we introduce a novel recognition algorithm based on log-polar transformation, which provides an invariant representation of the object's rotation and scaling.
針對這個問題，引入對數(shù)極坐標(biāo)變換運(yùn)算，根據(jù)對數(shù)極坐標(biāo)圖像的尺度、旋轉(zhuǎn)不變性提出了新的目標(biāo)匹配識別算法，一方面保證了在尺度變化及旋轉(zhuǎn)下的高匹配率；

Log -Polar Transformation 對數(shù)極坐標(biāo)變換;用對數(shù)極坐標(biāo)變換;對數(shù);log極坐標(biāo)變換
log -polar transformation lpt 對數(shù)極坐標(biāo)變換
improved log -polar transformation 改進(jìn)對數(shù)極坐標(biāo)變換