文件名称:COV
介绍说明
CoV显著区域检测算法提供了一种非线性的特征组合求解方法，得到多尺度的检测结果，适合初学者快速理解显著区域检测(CoV salient region detection algorithm provides a non-linear solution of feature combination to obtain multi-scale detection results, which is suitable for beginners to quickly understand salient region detection)
相关搜索： 显著性检测COV
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| COV\saliency\.DS_Store | 6148 | 2013-03-19 |
| COV\saliency\covdist.m | 541 | 2012-01-22 |
| COV\saliency\demo.m | 814 | 2017-03-15 |
| COV\saliency\fish.png | 1377742 | 2008-08-22 |
| COV\saliency\iicov.m | 890 | 2012-01-22 |
| COV\saliency\integralimage.m | 472 | 2012-01-22 |
| COV\saliency\RGB2Lab.m | 1881 | 2012-01-22 |
| COV\saliency\saliencymap.m | 4323 | 2017-03-15 |
| COV\saliency\sointegralimage.m | 670 | 2012-01-22 |
| COV\__MACOSX\._saliency | 210 | 2013-03-19 |
| COV\__MACOSX\saliency\._.DS_Store | 210 | 2013-03-19 |
| COV\__MACOSX\saliency\._covdist.m | 210 | 2012-01-22 |
| COV\__MACOSX\saliency\._demo.m | 210 | 2013-03-19 |
| COV\__MACOSX\saliency\._fish.png | 212 | 2008-08-22 |
| COV\__MACOSX\saliency\._iicov.m | 210 | 2012-01-22 |
| COV\__MACOSX\saliency\._integralimage.m | 210 | 2012-01-22 |
| COV\__MACOSX\saliency\._RGB2Lab.m | 210 | 2012-01-22 |
| COV\__MACOSX\saliency\._saliencymap.m | 210 | 2013-03-19 |
| COV\__MACOSX\saliency\._sointegralimage.m | 210 | 2012-01-22 |
| COV\__MACOSX\saliency | 0 | 2021-02-15 |
| COV\saliency | 0 | 2021-02-15 |
| COV\__MACOSX | 0 | 2021-02-15 |
| COV | 0 | 2021-02-15 |