不同源图像间由于灰度和分辨率水平上的显著差异，使得两图像间的配准问题十分困难。
Because of difference on the gray - level and resolution - level between multi - source images, it is very difficult to register two images.
结果表明，相同噪声水平条件下，灰度噪声对测量精度的影响大于量化噪声的影响。
The results show that the influence of the gray noise on the measurement precision is greater than that of the quantification noise.
该方法由地震图扫描输入、灰度规一化、水平线消除、时标和起震点提取及智能跟踪与细化等步骤组成。
It includes seismogram input by scanner, grey normalization, horizontal line removal, extractions of time marks and start time of earthquake, and intelligent tracking and thinning.
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