基于python+opencv的目标图像自动识别提取感兴趣区域(本项目提取矩形目标区域).rar

上传者: 38746387 | 上传时间: 2020-01-08 03:12:34 | 文件大小: 83.74MB | 文件类型: rar
该代码为基于python+opencv的目标图像区域自动提取,即利用python +opencv检测图像中的长方形画布或纸张并提取图像内容,经过测试,该算法代码能有效解决基本问题。亲测好用,大家快来下载吧,挺不错的一个资源哦!!

文件下载

资源详情

[{"title":"( 39 个子文件 83.74MB ) 基于python+opencv的目标图像自动识别提取感兴趣区域(本项目提取矩形目标区域).rar","children":[{"title":"Opencv_python","children":[{"title":"图像处理要求_20180730更新.pdf <span style='color:#111;'> 817.15KB </span>","children":null,"spread":false},{"title":"算法测试矫正图片","children":[{"title":"transfer3917.png <span style='color:#111;'> 3.84MB </span>","children":null,"spread":false},{"title":"transfer9438.png <span style='color:#111;'> 1.74MB </span>","children":null,"spread":false},{"title":"transfer40.png <span style='color:#111;'> 3.87MB </span>","children":null,"spread":false},{"title":"transfer115.png <span style='color:#111;'> 3.77MB </span>","children":null,"spread":false},{"title":"transfer35.png <span style='color:#111;'> 3.03MB </span>","children":null,"spread":false},{"title":"transfer3909.png <span style='color:#111;'> 4.00MB </span>","children":null,"spread":false},{"title":"transfer51.png <span style='color:#111;'> 1.88MB </span>","children":null,"spread":false},{"title":"transfer338.png <span style='color:#111;'> 2.16MB </span>","children":null,"spread":false},{"title":"transfer26.png <span style='color:#111;'> 1.93MB </span>","children":null,"spread":false},{"title":"transfer86.png <span style='color:#111;'> 3.30MB </span>","children":null,"spread":false},{"title":"transfer48.png <span style='color:#111;'> 1.68MB </span>","children":null,"spread":false},{"title":"transfer36.png <span style='color:#111;'> 2.50MB </span>","children":null,"spread":false},{"title":"transfer60.png <span style='color:#111;'> 2.94MB </span>","children":null,"spread":false},{"title":"transfer373.png <span style='color:#111;'> 2.94MB </span>","children":null,"spread":false},{"title":"transfer9436.png <span style='color:#111;'> 2.50MB </span>","children":null,"spread":false},{"title":"transfer3.png <span style='color:#111;'> 3.40MB </span>","children":null,"spread":false},{"title":"transfer63.png <span style='color:#111;'> 2.38MB </span>","children":null,"spread":false}],"spread":false},{"title":"测试通过的图片","children":[{"title":"IMG_9438.JPG <span style='color:#111;'> 1.69MB </span>","children":null,"spread":false},{"title":"IMG_9429.JPG <span style='color:#111;'> 1.63MB </span>","children":null,"spread":false},{"title":"IMG_9432.JPG <span style='color:#111;'> 1.64MB </span>","children":null,"spread":false},{"title":"IMG_9468.JPG <span style='color:#111;'> 2.08MB </span>","children":null,"spread":false},{"title":"IMG_9378.JPG <span style='color:#111;'> 1.59MB </span>","children":null,"spread":false},{"title":"IMG_9399.JPG <span style='color:#111;'> 1.60MB </span>","children":null,"spread":false},{"title":"IMG_9437.JPG <span style='color:#111;'> 1.76MB </span>","children":null,"spread":false},{"title":"5.JPG <span style='color:#111;'> 1.64MB </span>","children":null,"spread":false},{"title":"IMG_9436.JPG <span style='color:#111;'> 1.64MB </span>","children":null,"spread":false},{"title":"IMG_9440.JPG <span style='color:#111;'> 1.71MB </span>","children":null,"spread":false},{"title":"IMG_9439.JPG <span style='color:#111;'> 1.82MB </span>","children":null,"spread":false},{"title":"IMG_9379.JPG <span style='color:#111;'> 1.62MB </span>","children":null,"spread":false},{"title":"IMG_9433.JPG <span style='color:#111;'> 1.57MB </span>","children":null,"spread":false},{"title":"IMG_9471.JPG <span style='color:#111;'> 2.04MB </span>","children":null,"spread":false},{"title":"IMG_9435.JPG <span style='color:#111;'> 1.60MB </span>","children":null,"spread":false},{"title":"IMG_9469.JPG <span style='color:#111;'> 2.08MB </span>","children":null,"spread":false}],"spread":false},{"title":"未通过图片","children":[{"title":"IMG_9382.JPG <span style='color:#111;'> 2.14MB </span>","children":null,"spread":false},{"title":"IMG_9380.JPG <span style='color:#111;'> 1.57MB </span>","children":null,"spread":false},{"title":"IMG_9397.JPG <span style='color:#111;'> 1.78MB </span>","children":null,"spread":false},{"title":"IMG_9385.JPG <span style='color:#111;'> 2.06MB </span>","children":null,"spread":false}],"spread":true},{"title":"Opencv2_python.py <span style='color:#111;'> 6.77KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】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,【只为小站】 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 【只为小站】 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,zhiweidada#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