摘要
提出了一种基于灰度三角值的正弦光栅条纹细分法,该方法以CCD拍摄的正弦光栅图像的各点灰度值映射为该点的正弦三角函数值从而进行处理。给出了原理说明和对图像细分的实例,并对该方法的抗噪性能进行了分析。实验表明即使在图像含有高频噪声污染的情况下,该方法仍具较高的有效性。
A strip multiplication method to the sine grating which based on the gray variance of the image was proposed. The gray variance of a point in the image which was shot by the CCD was taken for the sine value of this point in this method, then the mapping of the sine value and the gray variance was established one by one to the points in a image. So the image could be dealt with a sine function. The principle and some examples were given, and the antidisturbance performence of this method was analyzed. The experiment shows that even if there were much more high-frequency disturbances in the image, this method also could give high effective performances.
出处
《半导体光电》
EI
CAS
CSCD
北大核心
2005年第4期366-368,共3页
Semiconductor Optoelectronics
关键词
正弦光栅
灰度值
三角函数法
条纹细分
sine grating
gray value
sine function method
strip multiplication