搜索资源列表
disp_yuv
- 我自己写的现实YUV原始数据的MATLAB程序。先进行数据的分离,再进行YUV到RGB的转换,-I wrote it myself reality YUV data of the original MATLAB. Data for the first separation and then YUV to RGB conversion.
Image-background-separation
- 程序实现一个自适应阈值的算法,用以在不规则光照下从背景中提取出前景图像。-Procedures to achieve an adaptive threshold algorithm to extract the foreground from the background image in the irregular light.
mypic214
- ·最快捷,最方便的图片上传,管理系统! ·支持批量上传,抓取远程图片,FTP导入图片 ·采用PHP5.0+MYSQL架构 ·基于最新的MP框架构建,详尽注释,方便二次开发和扩展 ·采用项目缓存机制,单入口模式,简洁,小巧,高效 ·完全UTF-8编码,方便安装在国外主机 ·自由分类,自动生成导航和内容调用 ·直接从网页复制粘贴图文,自动过滤 ·外部图片自动保存在本地 ·自动控制上传图片和本地化图片尺寸 ·自动给上传及本地化图片添加水印 ·
bpbmp
- 膚色分離+BP類神經網路,作跌代的動作找正確膚色-Color separation+ BP neural network, for or on behalf of the movement to find the right color
kechengsheji
- 简单的对图像进行滤波,图像分离等操作,用matlab实现。附图片、程序及文档。-Simple image filtering, image separation operation, using matlab. Attached picture, procedures and documentation.
correct
- 图像盲分离正检率和误检率代码,适合图像盲分离检测置换图像正确分离的情况-Image blind source separation is inspection rate and the detection error rate code, suitable for image blind source separation detection displacement image separation correctly
Single-Image-Layer-Separation
- Single Image Layer Separation using Relative Smoothne-Single Image Layer Separation using Relative Smoothness
blmnd-algorithm
- 快速ICA算法,在盲源分离中有很大的用处,不错的源码 很好-Fast ICA algorithm, are of great use in blind source separation, a good source is very good
exqqbitCIMCdefinition
- 没有采用短暂分离的方法的GP方法求关联维 G-P算法计算关联维的-Don t use short separation method of GP associated d G- P algorithm calculating the correlation dimensions
ymx
- 盲信号分离算法的实现和应用 大家来看看,应该对大家有点用 不错的-Fanaticism, separation algorithm realization and application of everyone to see, should be a little with good on you
JrdtCarsoso
- 著名的Jade算法,利用高阶累积量盲分离,法国Cardoso发明的算法-The famous Jade algorithm, using higher-order cumulant blind source separation, the French Cardoso algorithm, invention,
qqnpbxs
- 互信息盲源分离,这基于这么一个事实,混合信号的互信息最小时-Mutual information blind source separation, which is based on such a fact, mixed signal with minimum mutual information
