[人工智能]opencv（C++）学习记录贴——图像金字塔和二值化函数

函数1：pyrDown()

函数原型：

void pyrDown(InputArray src, OutputArray dst, const Size& dstsize=Size());

函数作用：

先对图像进行高斯平滑，然后再进行降采样（将图像尺寸行和列方向缩减一半）；

函数2：pyrUp()函数

函数原型：

void pyrUp(InputArray src, OutputArray dst, const Size& dstsize=Size());

函数作用：

先对图像进行升采样（将图像尺寸行和列方向增大一倍），然后再进行高斯平滑；
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以及之前遗忘的一个知识点，一般进行二值化是对灰度图像进行二值化

//灰度图像二值化

threshold(gray,gray_B,125,255,THRESH_BINARY);

threshold(gray,gray_B_V,125,255,THRESH_BINARY_INV);?

//灰度图像TOZERO变换

threshold(gray,gray_T,125,255,THRESH_TOZERO);

threshold(gray,gray_T_V,125,255,THRESH_TOZERO_INV);?

//灰度图像TRUNC变换

threshold(gray,gray_TRUNC,125,255,THRESH_TRUNC);?

//灰度图像大津法和三角法二值化

Mat img_Thr=imread("threshold.jpg",IMREAD_GRAYSCALE);

Mat img_Thr_0,img_Thr_T;

threshold(img_Thr,img_Thr_0,100,255,THRESH_BINARY|THRESH_OTSU);

threshold(img_Thr,img_Thr_T,125,255,THRESH_BINARY|THRESH_TRIANGLE);???????

//灰度图像自适应二值化

Mat adaptive_mean,adaptive_gauss; adaptiveThreshold(img_Thr,adaptive_mean,255,ADAPTIVE_THRESH_MEAN_C,THRESH_BINARY,55,0);

adaptiveThreshold(img_Thr,adaptive_gauss,255,ADAPTIVE_THRESH_GAUSSIAN_C,THRESH_BINARY,55,0);