matchTemplate opencv3.0

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OpenCV模板匹配函数matchTemplate. 6种方法：

method=CV_TM_SQDIFF
$R(x,y)= \sum _{x',y'} (T(x',y')-I(x+x',y+y'))^2$
method=CV_TM_SQDIFF_NORMED
$R(x,y)= \frac{\sum_{x',y'} (T(x',y')-I(x+x',y+y'))^2}{\sqrt{\sum_{x',y'}T(x',y')^2 \cdot \sum_{x',y'} I(x+x',y+y')^2}}$
method=CV_TM_CCORR
$R(x,y)= \sum _{x',y'} (T(x',y') \cdot I(x+x',y+y'))$
method=CV_TM_CCORR_NORMED
$R(x,y)= \frac{\sum_{x',y'} (T(x',y') \cdot I(x+x',y+y'))}{\sqrt{\sum_{x',y'}T(x',y')^2 \cdot \sum_{x',y'} I(x+x',y+y')^2}}$
method=CV_TM_CCOEFF
$R(x,y)= \sum _{x',y'} (T'(x',y') \cdot I(x+x',y+y'))$
where
$\begin{array}{l} T'(x',y')=T(x',y') - 1/(w \cdot h) \cdot \sum _{x'',y''} T(x'',y'') \\ I'(x+x',y+y')=I(x+x',y+y') - 1/(w \cdot h) \cdot \sum _{x'',y''} I(x+x'',y+y'') \end{array}$
method=CV_TM_CCOEFF_NORMED
$R(x,y)= \frac{ \sum_{x',y'} (T'(x',y') \cdot I'(x+x',y+y')) }{ \sqrt{\sum_{x',y'}T'(x',y')^2 \cdot \sum_{x',y'} I'(x+x',y+y')^2} }$
调用：void matchTemplate(InputArray image, InputArray templ, OutputArray result, int method)
参数1：输入待匹配图像，参数2：模板图像，参数3：输出匹配结果，参数4：方法
匹配之后，可以使用minMaxLoc（）函数找到最佳匹配，作为全局最小值（使用CV_TM_SQDIFF时）或最大值（使用CV_TM_CCORR或CV_TM_CCOEFF时）。

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