首页 人工智能 机器学习     /    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

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:2017/4/21 8:23:39 | 文件大小:22.66MB | 文件类型:zip
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
C++代码,基于阴影的车辆假设区域生成,次要实现步骤: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。

文件下载

资源详情

[{"title":"(21个子文件22.66MB)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","children":[{"title":"gaussianfit","children":[{"title":"Debug","children":null,"spread":false},{"title":"gaussianfit","children":[{"title":"Debug","children":[{"title":"gaussianfit.tlog","children":null,"spread":false}],"spread":true},{"title":"原图.png <span style='color:#111;'>117.11KB</span>","children":null,"spread":false},{"title":"gaussianfit.vcxproj <span style='color:#111;'>5.69KB</span>","children":null,"spread":false},{"title":"gaussianfit.vcxproj.filters <span style='color:#111;'>945B</span>","children":null,"spread":false},{"title":"x64","children":[{"title":"Release","children":[{"title":"vc140.pdb <span style='color:#111;'>6.54MB</span>","children":null,"spread":false},{"title":"main.obj <span style='color:#111;'>5.62MB</span>","children":null,"spread":false},{"title":"gaussianfit.tlog","children":[{"title":"CL.read.1.tlog <span style='color:#111;'>52.33KB</span>","children":null,"spread":false},{"title":"link.read.1.tlog <span style='color:#111;'>9.86KB</span>","children":null,"spread":false},{"title":"link.write.1.tlog <span style='color:#111;'>488B</span>","children":null,"spread":false},{"title":"CL.write.1.tlog <span style='color:#111;'>294B</span>","children":null,"spread":false},{"title":"link.command.1.tlog <span style='color:#111;'>3.07KB</span>","children":null,"spread":false},{"title":"gaussianfit.lastbuildstate <span style='color:#111;'>188B</span>","children":null,"spread":false},{"title":"CL.command.1.tlog <span style='color:#111;'>626B</span>","children":null,"spread":false}],"spread":true},{"title":"gaussianfit.log <span style='color:#111;'>539B</span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"main.cpp <span style='color:#111;'>5.15KB</span>","children":null,"spread":false}],"spread":true},{"title":".vs","children":[{"title":"gaussianfit","children":[{"title":"v14","children":[{"title":".suo <span style='color:#111;'>25.50KB</span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"gaussianfit.sln <span style='color:#111;'>1.28KB</span>","children":null,"spread":false},{"title":"x64","children":[{"title":"Release","children":[{"title":"gaussianfit.exe <span style='color:#111;'>99.00KB</span>","children":null,"spread":false},{"title":"gaussianfit.ipdb <span style='color:#111;'>1.18MB</span>","children":null,"spread":false},{"title":"gaussianfit.iobj <span style='color:#111;'>4.61MB</span>","children":null,"spread":false},{"title":"gaussianfit.pdb <span style='color:#111;'>6.61MB</span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"gaussianfit.sdf <span style='color:#111;'>59.50MB</span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

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

免责申明

【好快吧下载】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【好快吧下载】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【好快吧下载】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,8686821#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明