基于分段三次Hermite插值的图像灰度校正算法

Image Grayscale Correction Algorithm Based on Piecewise Cubic Hermite Interpolation

针对现有的高精度零件图像,光的散射等因素会导致图像边缘产生光斑,造成边缘灰度曲线出现异常突变,本文提出一种基于分段三次Hermite插值的图像灰度校正算法。首先,定位异常灰度值点在原图像中的位置;其次,记录异常点周围波谷点的坐标并提取出该区域中的所有数据点;最后,通过分段三次Hermite插值替换原有数据,达到异常校正的效果。

In order to solve the problem that the edge of high-precision parts image will produce light spots due to the scattering of light and other factors,which will cause the abnormal mutation of the edge gray curve,a gray correction algorithm based on piecewise cubic Hermite interpolation was proposed in this paper.Firstly,the position of the abnormal gray value points in the original image was located,then the coordinates of the trough points around the abnormal points were recorded and all the data points in the area were extracted.Finally,the original data was replaced by the segmentation three times Hermite interpolation to achieve the effect of abnormal correction.