Traditional histogram equalization and gray-scale transformation algorithms can't realize the enhancement of the target in the infrared image effectively.
传统的直方图均衡和灰度变换增强算法，不能针对红外图像的目标进行有效地增强。
The general theories of gray correction methods for the medical ultrasonic image are introduced in this paper, including gray level correction, gray level transformation and histogram correction.
介绍了超声医学图像灰度校正常用方法的基本原理，这些方法主要有灰度级校正、灰度变换及直方图修正。
The method of enhancing the cell image includes gray-scale transformation, histogram modification, image smoothing and image sharpening etc.
细胞图像增强主要采用灰度变换、直方图修正、图像平滑、图像锐化等方法。
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