基于c++，使用opencv将123.png图中车牌区域的字符分割出来（每个字符分割成一个独立的图像，并分别显示出来）。

以下是基于C++和OpenCV的代码实现，实现车牌字符分割：

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace cv;
using namespace std;

int main()
{
    // 读入原始图片
    Mat src = imread("123.png");

    // 车牌定位
    Mat gray, hsv, binary;
    cvtColor(src, gray, COLOR_BGR2GRAY);
    cvtColor(src, hsv, COLOR_BGR2HSV);
    inRange(hsv, Scalar(100, 60, 60), Scalar(124, 255, 255), binary);

    Mat element1 = getStructuringElement(MORPH_RECT, Size(5, 5));
    Mat element2 = getStructuringElement(MORPH_RECT, Size(15, 15));
    morphologyEx(binary, binary, MORPH_CLOSE, element1);
    morphologyEx(binary, binary, MORPH_OPEN, element2);

    vector<vector<Point> > contours;
    findContours(binary, contours, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE);
    vector<Rect> plates;
    for (size_t i = 0; i < contours.size(); i++)
    {
        Rect rect = boundingRect(contours[i]);
        float rate = float(rect.width) / float(rect.height);
        if (rate > 2.5 && rate < 5 && rect.height > 50)
        {
            plates.push_back(rect);
        }
    }
    if (plates.size() == 0)
    {
        cout << "未检测到车牌！" << endl;
        return -1;
    }

    // 车牌字符分割
    Mat plate, plate_gray, plate_binary;
    plate = src(plates[0]);
    cvtColor(plate, plate_gray, COLOR_BGR2GRAY);
    threshold(plate_gray, plate_binary, 0, 255, THRESH_BINARY_INV | THRESH_OTSU);

    vector<vector<Point> > contours_plate;
    findContours(plate_binary, contours_plate, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE);
    vector<Rect> chars;
    for (size_t i = 0; i < contours_plate.size(); i++)
    {
        Rect rect = boundingRect(contours_plate[i]);
        float rate = float(rect.width) / float(rect.height);
        if (rate > 0.2 && rate < 1.5 && rect.height > 10 && rect.height < 50)
        {
            chars.push_back(rect);
        }
    }

    // 显示分割结果
    for (size_t i = 0; i < chars.size(); i++)
    {
        Mat char_image = plate_binary(chars[i]);
        resize(char_image, char_image, Size(20, 40));
        imshow("字符分割结果", char_image);
        waitKey(0);
    }

    return 0;
}

运行后，可以得到字符分割的结果，每个字符分割成一个独立的图像，并分别显示出来。