Objective To evaluate the value of four neighborhood pixels algorithm designed by our lab, in the distinguishing fatty liver from normal liver.
目的通过临床实验检验自行设计的四邻接点算法在区分正常肝与脂肪肝超声纹理中的价值。
A new algorithm of ramp width reduction based on the gray information of neighborhood pixels is proposed in order to sharpen the ramp edge effectively.
利用中心像素邻域灰度信息，提出一种新的图像边缘宽度细化算法，使斜坡边缘的细化效果有明显提高。
We present a fast colorizing algorithm, which introduces the pixel neighborhood relativity into the search procedure for the matched pixels.
提出了一种快速灰度图像彩色化算法，将图像像素邻域相关特性引入到匹配像素的搜索过程中。
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