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【Halcon视觉】图像滤波
2022-07-26 10:16:00 【文布斯】
图像滤波的目的是“去噪”。常见的滤波方式有三种：均值滤波，中值滤波，高斯滤波。
一.均值滤波
均值滤波是指，任意一点的像素值，都是周围N*M个点的像素值的平均值。
二.中值滤波
在使用领域平均值，实现去噪时，边缘也会变得模糊，因此有了中值滤波，任意一点的周围，N*M个点，将这些点的像素值，按照从大到小的顺序排列，取中位数，作为目标点的像素值。
三. 高斯滤波
图像上任意一点，对周围N*M个点，进行加权计算。距离目标点较近的点，权重更大，距离目标点较远的点，权重更小。所有点的权重值之和为1。
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