腐蚀：用某种探针对一个图像进行探测，以便找出图像内部可以放下该基元的区域。他是一种消除边界点，使边界点向内部收缩的过程，可以用来消除小而且无意义的物体。

膨胀：将与物体接触的所有背景点合并到该物体中，使边界向外部扩张，膨胀对填补图像分割后物体的空洞很有用。

开运算：对图像先腐蚀再膨胀。通常用来消除小对象物、在纤细点处分离物体、平滑较大物体的边界的同时并不明显改变其体积等。

闭运算：对图像先膨胀再腐蚀。通常用来填充目标内细小孔洞、连接断开的临近目标、平滑其边界的同时并不明显改变其面积。

-With a probe to corrosion: an image, to find the image can be put inside the yuan. He is a kind of boundary point to eliminate, the boundary point to the internal process of shrinking, can be used to eliminate small and insignificant objects.

Inflation will contact with objects: all the background to the point of merger, the boundary to external expansion, inflation to fill the empty after the object image segmentation is very useful.

Open operation for corrosion image first, then inflation. Usually used to eliminate small objects in fine point, separation, smooth larger objects of objects is not clear boundaries to change its volume etc.

Close to image computing: first expansion to corrosion. Usually used to fill in tiny holes, connect target near the target, smooth the disconnect the boundaries are not obvious change its area.