细胞图象增强主要采用灰度变换、直方图修正、图象平滑、图象锐化等方法。
The method of enhancing the cell image include gray-scale transformation, histogram modification, image smoothing and image sharpening etc.
本文将传统的线性方法同韦伯定律有机结合起来，提出了一种新的适应于人眼视觉特性的非线性图象锐化增强方法。
In this paper, a new nonlinear image enhancement method suitable to the response of the human visual system is proposed.
这种方法不仅能够有效地平滑噪声，还能够锐化模糊的图象边缘；
With this method, not only the noise can be smoothed efficiently, but also the blurred edge of an image be sharpened.
通过数模转换、彩色编码、边缘锐化、透视显示、多元图象迭合等处理，获得常规物探数据处理方法难于获得的某些地球物理信息。
Some new geo-physical informations can be acquired by such as the digital analog conversion, color code, edge sharpening, perspective display and multivariableimage overlapping.
通过数模转换、彩色编码、边缘锐化、透视显示、多元图象迭合等处理，获得常规物探数据处理方法难于获得的某些地球物理信息。
Some new geo-physical informations can be acquired by such as the digital analog conversion, color code, edge sharpening, perspective display and multivariableimage overlapping.
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