python 实现 纹理图片分类识别 SVM支持向量机 图片资源与代码

上传者: fuckguidao | 上传时间: 2019-12-21 19:45:55 | 文件大小: 8.87MB | 文件类型: zip
题目是将图片库中的纹理图片裁剪成九份,其中五份做训练集,四份做测试集,先提取图片LBP特征 ,最后用svm支持向量机进行学习,在预测测试集里的图片是哪一类纹理。 正常情况下是需要调参的,即调整SVM的参数,但图省事只整了个循环,正常应该手动调参的。

文件下载

资源详情

[{"title":"( 41 个子文件 8.87MB ) python 实现 纹理图片分类识别 SVM支持向量机 图片资源与代码","children":[{"title":"test","children":[{"title":"test.py <span style='color:#111;'> 3.34KB </span>","children":null,"spread":false},{"title":"picture","children":[{"title":"26.tiff <span style='color:#111;'> 258.31KB </span>","children":null,"spread":false},{"title":"31.tiff <span style='color:#111;'> 258.55KB </span>","children":null,"spread":false},{"title":"20.tiff <span style='color:#111;'> 258.44KB </span>","children":null,"spread":false},{"title":"5.tiff <span style='color:#111;'> 258.26KB </span>","children":null,"spread":false},{"title":"25.tiff <span style='color:#111;'> 258.35KB </span>","children":null,"spread":false},{"title":"1.tiff <span style='color:#111;'> 257.94KB </span>","children":null,"spread":false},{"title":"39.tiff <span style='color:#111;'> 258.47KB </span>","children":null,"spread":false},{"title":"27.tiff <span style='color:#111;'> 257.96KB </span>","children":null,"spread":false},{"title":"28.tiff <span style='color:#111;'> 258.47KB </span>","children":null,"spread":false},{"title":"15.tiff <span style='color:#111;'> 258.52KB </span>","children":null,"spread":false},{"title":"4.tiff <span style='color:#111;'> 258.37KB </span>","children":null,"spread":false},{"title":"35.tiff <span style='color:#111;'> 258.21KB </span>","children":null,"spread":false},{"title":"36.tiff <span style='color:#111;'> 257.82KB </span>","children":null,"spread":false},{"title":"23.tiff <span style='color:#111;'> 257.95KB </span>","children":null,"spread":false},{"title":"14.tiff <span style='color:#111;'> 255.98KB </span>","children":null,"spread":false},{"title":"34.tiff <span style='color:#111;'> 257.52KB </span>","children":null,"spread":false},{"title":"2.tiff <span style='color:#111;'> 258.31KB </span>","children":null,"spread":false},{"title":"38.tiff <span style='color:#111;'> 258.56KB </span>","children":null,"spread":false},{"title":"9.tiff <span style='color:#111;'> 258.57KB </span>","children":null,"spread":false},{"title":"37.tiff <span style='color:#111;'> 258.01KB </span>","children":null,"spread":false},{"title":"30.tiff <span style='color:#111;'> 258.53KB </span>","children":null,"spread":false},{"title":"19.tiff <span style='color:#111;'> 258.51KB </span>","children":null,"spread":false},{"title":"7.tiff <span style='color:#111;'> 258.56KB </span>","children":null,"spread":false},{"title":"17.tiff <span style='color:#111;'> 258.46KB </span>","children":null,"spread":false},{"title":"11.tiff <span style='color:#111;'> 258.52KB </span>","children":null,"spread":false},{"title":"32.tiff <span style='color:#111;'> 256.99KB </span>","children":null,"spread":false},{"title":"8.tiff <span style='color:#111;'> 256.82KB </span>","children":null,"spread":false},{"title":"18.tiff <span style='color:#111;'> 258.45KB </span>","children":null,"spread":false},{"title":"21.tiff <span style='color:#111;'> 256.02KB </span>","children":null,"spread":false},{"title":"12.tiff <span style='color:#111;'> 256.39KB </span>","children":null,"spread":false},{"title":"6.tiff <span style='color:#111;'> 258.60KB </span>","children":null,"spread":false},{"title":"16.tiff <span style='color:#111;'> 258.47KB </span>","children":null,"spread":false},{"title":"22.tiff <span style='color:#111;'> 255.68KB </span>","children":null,"spread":false},{"title":"10.tiff <span style='color:#111;'> 257.29KB </span>","children":null,"spread":false},{"title":"33.tiff <span style='color:#111;'> 258.53KB </span>","children":null,"spread":false},{"title":"13.tiff <span style='color:#111;'> 258.49KB </span>","children":null,"spread":false},{"title":"24.tiff <span style='color:#111;'> 258.49KB </span>","children":null,"spread":false},{"title":"3.tiff <span style='color:#111;'> 258.54KB </span>","children":null,"spread":false},{"title":"0.tiff <span style='color:#111;'> 258.35KB </span>","children":null,"spread":false},{"title":"29.tiff <span style='color:#111;'> 258.35KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}]

评论信息

  • 挪威的深林 :
    完全是scikit-image中复制粘贴过来的,不具有参考价值,缺少太多
    2020-04-21
  • baidu_24830259 :
    Python编写缺少文件
    2019-10-30

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