原图：
#include "opencv2/imgproc/imgproc.hpp" #include "opencv2/highgui/highgui.hpp" #include <iostream> #include <stdio.h> using namespace cv; using namespace std; vector<Mat> horizontalProjectionMat(Mat srcImg)//水平投影 { Mat binImg; blur(srcImg, binImg, Size(3, 3)); threshold(binImg, binImg, 0, 255, CV_THRESH_OTSU); int perPixelValue = 0;//每个像素的值 int width = srcImg.cols; int height = srcImg.rows; int* projectValArry = new int[height];//创建一个储存每行白色像素个数的数组 memset(projectValArry, 0, height * 4);//初始化数组 for (int col = 0; col < height; col++)//遍历每个像素点 { for (int row = 0; row < width; row++) { perPixelValue = binImg.at<uchar>(col, row); if (perPixelValue == 0)//如果是白底黑字 { projectValArry[col]++; } } } Mat horizontalProjectionMat(height, width, CV_8UC1);//创建画布 for (int i = 0; i < height; i++) { for (int j = 0; j < width; j++) { perPixelValue = 255; horizontalProjectionMat.at<uchar>(i, j) = perPixelValue;//设置背景为白色 } } for (int i = 0; i < height; i++)//水平直方图 { for (int j = 0; j < projectValArry[i]; j++) { perPixelValue = 0; horizontalProjectionMat.at<uchar>(i, width - 1 - j) = perPixelValue;//设置直方图为黑色 } } vector<Mat> roiList;//用于储存分割出来的每个字符 int startIndex = 0;//记录进入字符区的索引 int endIndex = 0;//记录进入空白区域的索引 bool inBlock = false;//是否遍历到了字符区内 for (int i = 0; i <srcImg.rows; i++) { if (!inBlock && projectValArry[i] != 0)//进入字符区 { inBlock = true; startIndex = i; } else if (inBlock && projectValArry[i] == 0)//进入空白区 { endIndex = i; inBlock = false; Mat roiImg = srcImg(Range(startIndex, endIndex + 1), Range(0, srcImg.cols));//从原图中截取有图像的区域 roiList.push_back(roiImg); } } delete[] projectValArry; return roiList; } vector<Mat> verticalProjectionMat(Mat srcImg)//垂直投影 { Mat binImg; blur(srcImg, binImg, Size(3, 3)); threshold(binImg, binImg, 0, 255, CV_THRESH_OTSU); int perPixelValue;//每个像素的值 int width = srcImg.cols; int height = srcImg.rows; int* projectValArry = new int[width];//创建用于储存每列白色像素个数的数组 memset(projectValArry, 0, width * 4);//初始化数组 for (int col = 0; col < width; col++)//列 { for (int row = 0; row < height; row++)//行 { perPixelValue = binImg.at<uchar>(row, col); if (perPixelValue == 0)//如果是白底黑字 { projectValArry[col]++; } } } Mat verticalProjectionMat(height, width, CV_8UC1);//垂直投影的画布 for (int i = 0; i < height; i++) { for (int j = 0; j < width; j++) { perPixelValue = 255; //背景设置为白色 verticalProjectionMat.at<uchar>(i, j) = perPixelValue; } } for (int i = 0; i < width; i++)//垂直投影直方图 { for (int j = 0; j < projectValArry[i]; j++) { perPixelValue = 0; //直方图设置为黑色 verticalProjectionMat.at<uchar>(height - 1 - j, i) = perPixelValue; } } imshow("垂直投影", verticalProjectionMat); cvWaitKey(0); vector<Mat> roiList;//用于储存分割出来的每个字符 int startIndex = 0;//记录进入字符区的索引 int endIndex = 0;//记录进入空白区域的索引 bool inBlock = false;//是否遍历到了字符区内 for (int i = 0; i < srcImg.cols; i++)//cols=width { if (!inBlock && projectValArry[i] != 0)//进入字符区 { inBlock = true; startIndex = i; } else if (projectValArry[i] == 0 && inBlock)//进入空白区 { endIndex = i; inBlock = false; Mat roiImg = srcImg(Range(0, srcImg.rows), Range(startIndex, endIndex + 1)); roiList.push_back(roiImg); } } delete[] projectValArry; return roiList; } int main(int argc, char* argv[]) { //先进行垂直投影，再进行水平投影分割字符串 Mat srcImg = imread("b.png", 0);//读入原图像 char szName[30] = { 0 }; vector<Mat> b = verticalProjectionMat(srcImg);//先进行垂直投影 //垂直投影以后的结果 for (int j = 0; j < b.size(); j++) { sprintf(szName, "vertical_%d.jpg", j); imshow(szName, b[j]); IplImage img = IplImage(b[j]); cvSaveImage(szName, &img);//保存切分的结果 } // for (int i = 0; i < b.size(); i++) { vector<Mat> a = horizontalProjectionMat(b[i]);//水平投影 sprintf(szName, "%d.jpg", i); for (int j = 0; j < a.size(); j++) { imshow(szName, a[j]); IplImage img = IplImage(a[j]); cvSaveImage(szName, &img);//保存切分的结果 } } /* vector<Mat> a = horizontalProjectionMat(srcImg); char szName[30] = { 0 }; for (int i = 0; i < a.size(); i++) { vector<Mat> b = verticalProjectionMat(a[i]); for (int j = 0; j<b.size();j++) { sprintf(szName, "E:\\%d.jpg", j); imshow(szName, b[j]); } } */ cvWaitKey(0); getchar(); return 0; }
结果
如果只打算看结果的话，可以屏蔽掉垂直投影的输出
