openv对一个大图进行分割处理，最后合并成为一个大图的过程

void main()
{
int pos[19] = { 0 };

Mat in_Inv = imread("d:/number.png",0);
Mat img_threshold = Mat::zeros(in_Inv.rows, in_Inv.cols , srcImg.type());
for (int i = 0; i<18; i++)
{
pos[i] = i  * img_threshold.cols / 18;
}
namedWindow("raw_img", 0);
imshow("raw_img", in_Inv);
Mat half1 = in_Inv(Rect(pos[0], 0, pos[1] - pos[0], in_Inv.rows));
Mat half2 = in_Inv(Rect(pos[1], 0, pos[2] - pos[1], in_Inv.rows));
Mat half3 = in_Inv(Rect(pos[2], 0, pos[3] - pos[2], in_Inv.rows));
Mat half4 = in_Inv(Rect(pos[3], 0, pos[4] - pos[3], in_Inv.rows));
Mat half5 = in_Inv(Rect(pos[4], 0, pos[5] - pos[4], in_Inv.rows));
Mat half6 = in_Inv(Rect(pos[5], 0, pos[6] - pos[5], in_Inv.rows));
Mat half7 = in_Inv(Rect(pos[6], 0, pos[7] - pos[6], in_Inv.rows));
Mat half8 = in_Inv(Rect(pos[7], 0, pos[8] - pos[7], in_Inv.rows));
Mat half9 = in_Inv(Rect(pos[8], 0, pos[9] - pos[8], in_Inv.rows));
Mat half10 = in_Inv(Rect(pos[9], 0, pos[10] - pos[9], in_Inv.rows));
Mat half11 = in_Inv(Rect(pos[10], 0, pos[11] - pos[10], in_Inv.rows));
Mat half12 = in_Inv(Rect(pos[11], 0, pos[12] - pos[11], in_Inv.rows));
Mat half13 = in_Inv(Rect(pos[12], 0, pos[13] - pos[12], in_Inv.rows));
Mat half14 = in_Inv(Rect(pos[13], 0, pos[14] - pos[13], in_Inv.rows));
Mat half15 = in_Inv(Rect(pos[14], 0, pos[15] - pos[14], in_Inv.rows));
Mat half16 = in_Inv(Rect(pos[15], 0, pos[16] - pos[15], in_Inv.rows));
Mat half17 = in_Inv(Rect(pos[16], 0, pos[17] - pos[16], in_Inv.rows));
Mat half18 = in_Inv(Rect(pos[17], 0, in_Inv.cols - pos[17], in_Inv.rows));
threshold(half1, half1, 0, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half2, half2, 0, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half3, half3, 0, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half4, half4, 0, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half5, half5, 0, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half6, half6, 0, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half7, half7, 0, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half8, half8, 0, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half9, half9, 0, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half10, half10, 0, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half11, half11, 0, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half12, half12, 180, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half13, half13, 160, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half14, half14, 160, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half15, half15, 160, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half16, half16, 160, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half17, half17, 160, 255, CV_THRESH_OTSU); //大津法二值化
threshold(half18, half18, 160, 255, CV_THRESH_OTSU); //大津法二值化

#if 0
namedWindow("half1", 0);
imshow("half1", half1);
namedWindow("half2", 0);
imshow("half2", half2);
namedWindow("half3", 0);
imshow("half3", half3);
namedWindow("half4", 0);
imshow("half4", half4);
namedWindow("half5", 0);
imshow("half5", half5);
namedWindow("half6", 0);
imshow("half6", half6);
namedWindow("half7", 0);
imshow("half7", half7);
namedWindow("half8", 0);
imshow("half8", half8);
namedWindow("half9", 0);
imshow("half9", half9);
namedWindow("half10", 0);
imshow("half10", half10);
namedWindow("half11", 0);
imshow("half11", half11);
namedWindow("half12", 0);
imshow("half12", half12);
namedWindow("half13", 0);
imshow("half13", half13);
namedWindow("half14", 0);
imshow("half14", half14);
namedWindow("half15", 0);
imshow("half15", half15);
namedWindow("half16", 0);
imshow("half16", half16);
namedWindow("half17", 0);
imshow("half17", half17);
namedWindow("half18", 0);
imshow("half18", half18);
#endif
img_threshold = 0;
Mat imageROI = img_threshold(Rect(pos[0], 0, pos[1] - pos[0], in_Inv.rows));
half1.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[1], 0, pos[2] - pos[1], in_Inv.rows));
half2.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[2], 0, pos[3] - pos[2], in_Inv.rows));
half3.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[3], 0, pos[4] - pos[3], in_Inv.rows));
half4.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[4], 0, pos[5] - pos[4], in_Inv.rows));
half5.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[5], 0, pos[6] - pos[5], in_Inv.rows));
half6.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[6], 0, pos[7] - pos[6], in_Inv.rows));
half7.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[7], 0, pos[8] - pos[7], in_Inv.rows));
half8.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[8], 0, pos[9] - pos[8], in_Inv.rows));
half9.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[9], 0, pos[10] - pos[9], in_Inv.rows));
half10.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[10], 0, pos[11] - pos[10], in_Inv.rows));
half11.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[11], 0, pos[12] - pos[11], in_Inv.rows));
half12.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[12], 0, pos[13] - pos[12], in_Inv.rows));
half13.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[13], 0, pos[14] - pos[13], in_Inv.rows));
half14.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[14], 0, pos[15] - pos[14], in_Inv.rows));
half15.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[15], 0, pos[16] - pos[15], in_Inv.rows));
half16.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[16], 0, pos[17] - pos[16], in_Inv.rows));
half17.copyTo(imageROI);
imageROI = img_threshold(Rect(pos[17], 0, in_Inv.cols - pos[17], in_Inv.rows));
half18.copyTo(imageROI);

namedWindow("processed_img", 0);
imshow("processed_img", img_threshold);

waitKey(0);
}