If we apply our kernel to every pixel in the photo, the result looks like this, where the highest pixel values are where there are strong vertical edges.

如果我们将我们的内核应用于照片中的每个像素，结果看起来像这样，其中最高像素值是有强垂直边缘的地方。

As an example, let's talk about an algorithm that finds vertical edges in a scene, let's say to help a drone navigate safely through a field of obstacles.

举个例子，让我们谈谈在场景中找到垂直边缘的算法，比如说帮助无人机安全地穿过障碍物。

We can define this behavior more formally by creating a rule that says the likelihood of a pixel being a vertical edge is the magnitude of the difference in color between some pixels to its left and some pixels to its right.

我们可以通过创建一个规则来更正式地定义此行为，该规则表示像素是垂直边缘的可能性是其左侧的一些像素和其右侧的一些像素之间颜色差异的大小。