文件名称:spattempLBP
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2013-07-21
- 文件大小：
- 1kb
- 下载次数：
- 0次
- 提 供 者：
- 陈**
- 相关连接：
- 无
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时空局部二值模式，不仅采用的空间信息，也采用了时间信息，采用前后三帧图像的8领域像素与中心像素比较，大于为一，反之为0，然后分别采用锯齿形和螺旋形方式进行排列得到灰度值-LBP is proposed by Ojalaet al.in 1994. And it has
been found to be a valuable texture feature. As Fig.2 shows,
LBP is calculated one pixel by another. For each pixel, it is
compared to its neighbors (number of neighbors can be 8, 12
or even more). Then follow the neighbors clockwise or
counter-clockwise. If its value is bigger than the center pixel,
write “1”. Otherwise, write “0”. When traversed all the
neighbors, an 8-digit binary number can be obtained. Usually
it is converted to decimal. In most cases, the histogram is
calculated by LBP over the cells in the detection window and
is used as classification features
been found to be a valuable texture feature. As Fig.2 shows,
LBP is calculated one pixel by another. For each pixel, it is
compared to its neighbors (number of neighbors can be 8, 12
or even more). Then follow the neighbors clockwise or
counter-clockwise. If its value is bigger than the center pixel,
write “1”. Otherwise, write “0”. When traversed all the
neighbors, an 8-digit binary number can be obtained. Usually
it is converted to decimal. In most cases, the histogram is
calculated by LBP over the cells in the detection window and
is used as classification features
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spattempLBP.m