Gonzalez从集合角度定义膨胀和腐蚀,不易理解。
Through these definitions, you can interpret dilation and erosion as sliding neighborhood operations analogous to convolution (or spatial filtering).
禹晶、肖创柏、廖庆敏《数字图像处理(面向新工科的电工电子信息基础课程系列教材)》
本书从空域滤波角度对二值图像形态学中膨胀和腐蚀的定义和过程进行描述,并给出了动画演示过程。使用结构元素对图像的形态学处理与滤波模板的空域滤波具有类似的过程,在形态学基本运算中也将结构元素在图像中遍历,结构元素的原点与各个像素位置重合,结构元素与对应图像区域的集合运算结果作为输出图像中对应原点的值。
腐蚀
<iframe allowfullscreen="true" data-mediaembed="csdn" frameborder="0" id="ALooJV8q-1731682009580" src="https://live.csdn.net/v/embed/434283"></iframe>morphological erosion
膨胀
<iframe allowfullscreen="true" data-mediaembed="csdn" frameborder="0" id="c481XPN6-1731680430381" src="https://live.csdn.net/v/embed/434279"></iframe>morphological dilation
开运算
<iframe allowfullscreen="true" data-mediaembed="csdn" frameborder="0" id="9FCJtozf-1731680447861" src="https://live.csdn.net/v/embed/434281"></iframe>morphological opening
闭运算
<iframe allowfullscreen="true" data-mediaembed="csdn" frameborder="0" id="0NEv8A1q-1731680464768" src="https://live.csdn.net/v/embed/434282"></iframe>morphological closing
标签:谈二值,运算,morphological,滤波,形态学,腐蚀,图像 From: https://blog.csdn.net/u013600306/article/details/143808419