车辆检测-基于车底阴影特征-基于路面灰度级的分割方法-高斯拟合直方图

上传者: huichuo6187 | 上传时间: 2020-01-10 03:03:59 | 文件大小: 22.66MB | 文件类型: zip
C++代码,基于阴影的车辆假设区域生成,主要实现步骤:1.加载一张路面图片;2.加权平均灰度图;3.路面ROI提取(用于作为二值化分割的阈值提取);4.对路面ROI进行canny边缘提取;5.对路面ROI进行路面信息提取(根据canny图,将非路面信息,车,路两边的干扰信息等剔除);6.对步骤5中得到的图片信息进行直方图处理;7.对得到的直方图信息进行高斯拟合,得到直方图的标准差,均值信息;8.根据标准差和均值信息得到二值化的阈值;9.二值化处理,得到分割后的图像,得到所需要的车底阴影。

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  • weixin_45751974 :
    我不会用,希望作者能帮帮我。
    2020-05-02

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