目前在OpenCV中，有reduce函數可以進行水平或者垂直方向的投影。
C++: void reduce(InputArray mtx, OutputArray vec, int dim, int reduceOp, int dtype=-1)
Parameters:
- mtx – Source 2D matrix.
- vec – Destination vector. Its size and type is defined by dim and dtype parameters.
- dim – Dimension index along which the matrix is reduced. 0 means that the matrix is reduced to a single row. 1 means that the matrix is reduced to a single column.
- reduceOp –
Reduction operation that could be one of the following:
- CV_REDUCE_SUM The output is the sum of all rows/columns of the matrix.
- CV_REDUCE_AVG The output is the mean vector of all rows/columns of the matrix.
- CV_REDUCE_MAX The output is the maximum (column/row-wise) of all rows/columns of the matrix.
- CV_REDUCE_MIN The output is the minimum (column/row-wise) of all rows/columns of the matrix.
- dtype – When it is negative, the destination vector will have the same type as the source matrix. Otherwise, its type will be CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), mtx.channels()) .
而在有些情況，我們可能需要對圖像進行其他方向的投影，這時候簡單的水平投影或者是垂直投影不能完全滿足我們的需求，例如下圖：
對這幅二值圖像來說，單純的水平或者垂直投影，並不能反映出圖像中白色前景區域的某些特征，我們可能需要用到沿垂直於白色區域延伸部分的投影。
這里提出一種簡單可行的解決思路：
-
先找到最小外接矩形
-
確定三角旋轉矩陣
-
計算得旋轉參數矩陣
-
旋轉需要的部分
- 計算投影
基於三角映射的方法：
