#include <opencv2/opencv.hpp>

#include <iostream>
#include <cstdlib>
#include <stack>

using namespace cv;
using namespace std;

int main()
{
Mat image, image1, image2, image3, drawing;
Rect rect, temp_rect;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
double ratio, delta_x, delta_y, gradient;
int select, plate_width, count, friend_count = 0, refinery_count = 0;
stack<int> Stack;
stack<int> Stack2;
image = imread(“C:\\Users\\aucun\\Documents\\Visual Studio 2018\\Projects\\opencv_basic\\Plates\\3.JPG”); // 이미지 읽기

imshow(“Original”, image);
waitKey(0);

image.copyTo(image2); // 이미지 복사
image.copyTo(image3);

cvtColor(image2, image2, CV_BGR2GRAY); // 회색으로 변환
imshow(“Original->Gray”, image2);
waitKey(0);

Canny(image2, image2, 100, 300, 3); // 외각선 추출
imshow(“Original->Gray->Canny”, image2);
waitKey(0);

// Finding contours.
findContours(image2, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point());
vector<vector<Point> > contours_poly(contours.size());
vector<Rect> boundRect(contours.size());
vector<Rect> boundRect2(contours.size());

for (int i = 0; i< contours.size(); i++) {
approxPolyDP(Mat(contours[i]), contours_poly[i], 1, true);
boundRect[i] = boundingRect(Mat(contours_poly[i]));
}

drawing = Mat::zeros(image2.size(), CV_8UC3);

for (int i = 0; i< contours.size(); i++) {

ratio = (double)boundRect[i].height / boundRect[i].width;

if ((ratio <= 2.5) && (ratio >= 0.5) && (boundRect[i].area() <= 700) && (boundRect[i].area() >= 100)) {

drawContours(drawing, contours, i, Scalar(0, 255, 255), 1, 8, hierarchy, 0, Point());
rectangle(drawing, boundRect[i].tl(), boundRect[i].br(), Scalar(255, 0, 0), 1, 8, 0);

boundRect2[refinery_count] = boundRect[i];
refinery_count += 1;
}
}

boundRect2.resize(refinery_count);

imshow(“Original->Gray->Canny->Contours&Rectangles”, drawing);
waitKey(0);

// Bubble Sort accordance with X-coordinate.
for (int i = 0; i<boundRect2.size(); i++) {
for (int j = 0; j<(boundRect2.size() – i); j++) {
if (boundRect2[j].tl().x > boundRect2[j + 1].tl().x) {
temp_rect = boundRect2[j];
boundRect2[j] = boundRect2[j + 1];
boundRect2[j + 1] = temp_rect;
}
}
}
for (int i = 0; i< boundRect2.size(); i++) {
rectangle(image3, boundRect2[i].tl(), boundRect2[i].br(), Scalar(0, 255, 0), 1, 8, 0);
count = 0;
// Snake moves to right, for eating his freind.
for (int j = i + 1; j<boundRect2.size(); j++) {

delta_x = abs(boundRect2[j].tl().x – boundRect2[i].tl().x);

if (delta_x > 150) // Can’t eat snake friend too far ^-^.
break;
delta_y = abs(boundRect2[j].tl().y – boundRect2[i].tl().y);
if (delta_x == 0) {
delta_x = 1;
}
if (delta_y == 0) {
delta_y = 1;
}
gradient = delta_y / delta_x;
//cout << i << endl;

if (gradient < 0.25) {
count++;

if (!Stack.empty()) {
if ((boundRect2[j].tl().x > (boundRect2[Stack.top()].tl().x + (boundRect2[Stack.top()].width / 2)))) {
Stack.push(j);
}
}
else {
Stack.push(j);
}
}
}
if (count > friend_count) {
while (!Stack2.empty()) Stack2.pop();
while (!Stack.empty()) {
Stack2.push(Stack.top());
Stack.pop();
cout << Stack2.top() << endl;
}
select = i;
friend_count = count;
rectangle(image3, boundRect2[select].tl(), boundRect2[select].br(), Scalar(255, 0, 0), 1, 8, 0);
plate_width = delta_x;
}
while (!Stack.empty()) Stack.pop(); //스택 비우기
} // 네모칸을 이미지에 표시
rectangle(image3, boundRect2[select].tl(), boundRect2[select].br(), Scalar(0, 0, 255), 2, 8, 0);
line(image3, boundRect2[select].tl(), Point(boundRect2[select].tl().x + plate_width, boundRect2[select].tl().y), Scalar(0, 0, 255), 1, 8, 0);

imshow(“Rectangles on original”, image3);
waitKey(0);
image(Rect(boundRect2[select].tl().x, boundRect2[select].tl().y , boundRect2[select].width, boundRect2[select].height)).copyTo(image1);//차번호판 부분만 복사
resize(image1, image1, Size(image1.cols*4, image1.rows*4), 0, 0, CV_INTER_LINEAR);//크기 조정

int k;
for (int i = 0; i < friend_count-1; i++) {
if (!Stack2.empty()) {
k = Stack2.top();
Stack2.pop();
image(Rect(boundRect2[k].tl().x, boundRect2[k].tl().y, boundRect2[k].width, boundRect2[k].height)).copyTo(image1);//숫자나 문자 하나씩 추출
resize(image1, image1, Size(image1.cols * 4, image1.rows * 4), 0, 0, CV_INTER_LINEAR);//크기 조정
imwrite(“C:\\Users\\aucun\\Desktop\\test\\” + to_string(i + 2) + “.JPG”, image1);//잘려진 사진을 저장
}
}
// Shows license plate, and save image file.
imshow(“Region of interest”, image1);
waitKey(0);
//imwrite(“C:\\Users\\aucun\\Desktop\\test\\1.JPG”, image1);
exit(0);
}

ㅇ라즈베리파이 쉘스크립트
#/!/bin/bash

flag=1
for((;;))

do
echo $flag
check=`./test`
echo $check

if [ $check = "carin" -a ${flag} == 1 ] then
flag=0
raspistill -o car.jpg

var=`curl -F myfile=@/home/pi/test/car.jpg http://han.mysterlee.com/a.jsp`

echo $var

if [ $var = "8" ] then
echo “장애인차”
echo $var

else
echo “비장애인차”
echo $var
./jong

#else if [ $var = "1" ] #echo “인식안됨 or 오류”
#./jong

fi

fi
if [ $check = "carout" ] then
flag=1
fi
done

exit 0