这样这个可能有点棘手,我更想找方向而不是一个具体答案。 基本上我需要在 VB. net 应用程序中做一些物体探测。 我想知道照片中是否有一辆车。 它是一个静止的图片,算法不需要疯狂的快或者什么的, 但我基本上尝试在图片中检测汽车或者没有汽车。 想法是, 一个更大的应用程序, 其中一个功能会处理一个停车场, 并试图知道每个停车空间里是否有汽车。 我基本上会有一个单独的程序, 将一个更大的图像切成 单个空间的区, 然后这个程序会循环到每个空间里, 每个空间里都会检测汽车或者没有汽车。
我对边缘的探测也稍有了解, 但我只是不确定这是否真的有效, 汽车似乎有很多边缘, 就像我所希望的一样, 基本上需要汽车本身的轮廓来检测这都是一个物体。
您可以使用背景减法。 这将涉及到将空的停车场图像作为背景, 然后比较该图像与随后任何图像之间的变化。 如果您正在查看汽车停车位, 那么您会想要将图像分割成区块( 停车场空间), 并按区进行背景减色 。 但是由于日光下移时汽车停机灯的灯光不断变化, 您将会遇到背景图像会因阴影、 亮度、 etc 而变化的问题 。 处理这个问题的方法是通过框架比较来进行框架比较, 如果它改变一定的阈值, 那么很可能是一辆汽车停靠了, 而不是太阳移动了, 因为汽车在很短的时间内会带来比灯光效果更大的变化 。
您可以在下雪时填满所有的斑点。 您可以检查此链接 < a href=" http://examples.sprocv.org/ en/latest/examples/parking.html" rel="nofollow" > http://examples.sprocv.org/en/latest/examples/parking.html (it s in python, but could help) 或购买比比较图像更可靠的实际停车场探测系统。
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