传统PCNN应用于图像分割时，同属于一个区域的内部像素和边缘像素，由于其相邻的被激活像素的个数不同造成连接输入明显不同，这往往造成了误分割。
When segmenting a image using PCNN, the inner pixel and the pixel on edge in same area have different linking input due to amount of adjacent activating pixel, this causes improper segmentation.
这允许我创建某些效果，比如模糊效果或检测边缘，其中过滤的像素颜色取决于它的邻居的颜色。
This would allow me to create certain other effects, such as blurring or edge detection, where the filtered color of the pixel depends on the colors of its neighbors.
显然，数字0应该在标尺的左边缘位置，但是如果我们将那些两位数和三位数的数字放置在那些72像素点，它们看起来会不平衡。
Obviously, the 0 should be at the left edge of the ruler, but if we place the two - and three-digit Numbers at the 72-pixel points, they will appear unbalanced.
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