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 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.
硬件的校正精度取决于软件的校正精度，双线性内插法具有良好的精度、完全满足一般图像灰度校正的要求。
The accuracy of hardware correction is decided by the accuracy of software correction. The hardware bilinear interpolation has good accuracy and can correct general images.
针对CCD成像时中间亮两边暗的畸变特点，用双线性插值的方法对图像进行灰度校正。
According to the imaging character of CCD, a new method to calibrate the distortion image is brought forward.
图像畸变校正包括空间位置校正和灰度校正。
Image distortion correction includes spatial correction and gray-level correction.
接下来分析了路面图像的特点，并对原始路面图像进行了必要的预处理，进行灰度校正和几何校正。
Then by analyzing the characteristics of the road surface images, we carry out some necessary preprocesses such as gray scale calibration and geometry calibration to these images.
因此，可以在维持图像整体的亮度的同时进行图像的暗部灰度的校正，并且可实现最佳的灰度变换。
Therefore, it is possible to correct the dark area gradation of an image while maintaining brightness of the whole image, and to realize preferable gradation conversion.
因此，可以在维持图像整体的亮度的同时进行图像的暗部灰度的校正，并且可实现最佳的灰度变换。
Therefore, it is possible to correct the dark area gradation of an image while maintaining brightness of the whole image, and to realize preferable gradation conversion.
应用推荐