detection the largest retangle , OpenCv 检测最大矩形

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#include <jni.h>
#include <opencv2/opencv.hpp>
#include <bits/stdc++.h>
#include <android/log.h>
#define LOG_TAG "JNI_PART"
#define LOGI(...) __android_log_print(ANDROID_LOG_INFO,LOG_TAG, __VA_ARGS__)
#define LOGD(...) __android_log_print(ANDROID_LOG_DEBUG,LOG_TAG, __VA_ARGS__)
#define LOGW(...) __android_log_print(ANDROID_LOG_WARN,LOG_TAG, __VA_ARGS__)
#define LOGE(...) __android_log_print(ANDROID_LOG_ERROR,LOG_TAG, __VA_ARGS__)
#define LOGF(...) __android_log_print(ANDROID_LOG_FATAL,LOG_TAG, __VA_ARGS__)
using namespace cv;
using namespace std;
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/*
* auth:huanjulu
*/
#include <jni.h>
#include <opencv2/opencv.hpp>
#include <bits/stdc++.h>
#include <android/log.h>
#define LOG_TAG "JNI_PART"
#define LOGI(...) __android_log_print(ANDROID_LOG_INFO,LOG_TAG, __VA_ARGS__)
#define LOGD(...) __android_log_print(ANDROID_LOG_DEBUG,LOG_TAG, __VA_ARGS__)
#define LOGW(...) __android_log_print(ANDROID_LOG_WARN,LOG_TAG, __VA_ARGS__)
#define LOGE(...) __android_log_print(ANDROID_LOG_ERROR,LOG_TAG, __VA_ARGS__)
#define LOGF(...) __android_log_print(ANDROID_LOG_FATAL,LOG_TAG, __VA_ARGS__)
using namespace cv;
using namespace std;
extern "C" {
jstring Java_com_martin_huanjulu_testopencv_MainActivity_stringFromJNI(
JNIEnv *env,
jobject /* this */) {
std::string hello = "Hello from C++";
return env->NewStringUTF(hello.c_str());
}
int thresh = 120;
double max_size_ratio = 0.6;
double min_size_ratio = 0.1;
static double angle(Point pt1, Point pt2, Point pt0) {
double dx1 = pt1.x - pt0.x;
double dy1 = pt1.y - pt0.y;
double dx2 = pt2.x - pt0.x;
double dy2 = pt2.y - pt0.y;
return (dx1 * dx2 + dy1 * dy2) /
sqrt((dx1 * dx1 + dy1 * dy1) * (dx2 * dx2 + dy2 * dy2) + 1e-10);
}
void
selectFeatureBounds(Mat &frame, CvPoint topLeftPoint, CvPoint oppssiteTotopLeft,
MatSize imageSize) {
cv::Mat overlay;
double alpha = 0.3;
frame.copyTo(overlay);
cv::rectangle(overlay, topLeftPoint, oppssiteTotopLeft, cvScalar(0, 0, 255, 0), CV_FILLED, 4);
// cv::rectangle(frame, topLeftPoint, oppssiteTotopLeft, cvScalar(0, 0, 255 * 0.7), CV_FILLED, 4);
cv::addWeighted(overlay, alpha, frame, 1 - alpha, 0, frame);
}
static void findSquares(const Mat &image, vector<vector<Point> > &squares, double resize_scale) {
squares.clear();
Mat pyr, timg, gray0(image.size(), CV_8U), gray;
image.copyTo(timg);
int max_size = image.cols * image.rows;
vector<vector<Point> > contours;
int N = 4;
for (int c = 0; c < 3; c++) {
int ch[] = {c, 0};
mixChannels(&timg, 1, &gray0, 1, ch, 1);
for (int l = 0; l < N; l++) {
if (l == 0) {
Canny(gray0, gray, 0, thresh, 3);
dilate(gray, gray, Mat(), Point(-1, -1));
} else {
gray = (gray0 >= (l + 1) * 255 / N);
}
findContours(gray, contours, RETR_LIST, CHAIN_APPROX_SIMPLE);
vector<Point> approx;
for (size_t i = 0; i < contours.size(); i++) {
double area0 = contourArea(contours[i]);
if ((area0 > max_size_ratio * max_size) || (area0 < min_size_ratio * max_size))
continue;
approxPolyDP(Mat(contours[i]), approx, arcLength(Mat(contours[i]), true) * 0.015,
true);
if (approx.size() == 4 && isContourConvex(Mat(approx))) {
double maxCosine = 0;
for (int j = 2; j < 5; j++) {
double cosine = fabs(angle(approx[j % 4], approx[j - 2], approx[j - 1]));
maxCosine = MAX(maxCosine, cosine);
}
//if( maxCosine < 0.5 ) //angle must be larger than 60
if (maxCosine < 0.25) //angle must be larger than 75
squares.push_back(approx);
}
}
}
}
//pick the center one
if (squares.size()) {
double min_dis = 100000;
vector<Point> pts;
for (size_t i = 0; i < squares.size(); i++) {
double new_dis =
fabs(squares[i][0].x + squares[i][1].x + squares[i][2].x + squares[i][3].x) /
4.0 +
(squares[i][0].y + squares[i][1].y + squares[i][2].y + squares[i][3].y) / 4.0 -
image.cols / 2.0 - image.rows / 2.0;
if (new_dis < min_dis) {
min_dis = new_dis;
pts = squares[i];
}
}
squares.clear();
for (size_t i = 0; i < pts.size(); i++) {
pts[i].x = int(pts[i].x * (1.0 / resize_scale));
pts[i].y = int(pts[i].y * (1.0 / resize_scale));
}
double max_x = -1, min_x = 10000, max_y = -1, min_y = 100000;
for (size_t i = 0; i < pts.size(); i++) {
max_x = max_x > pts[i].x ? max_x : pts[i].x;
min_x = min_x < pts[i].x ? min_x : pts[i].x;
max_y = max_y > pts[i].y ? max_y : pts[i].y;
min_y = min_y < pts[i].y ? min_y : pts[i].y;
}
pts.clear();
pts.push_back(Point(min_x, min_y));
pts.push_back(Point(max_x, min_y));
pts.push_back(Point(max_x, max_y));
pts.push_back(Point(min_x, max_y));
squares.push_back(pts);
}
}
static void
drawSquares(Mat &image, const vector<vector<Point> > &squares
) {
Size boxSize = image.size();
int height = boxSize.height;
int width = boxSize.width;
int horizontallineLength = boxSize.width / 4;
int verticallineLength = height / 5;
int lineLength = 30;
for (size_t i = 0; i < squares.size(); i++) {
const Point *p = &squares[i][0];
int n = (int) squares[i].size();
cv::line(image,
cvPoint(squares[i][0].x, squares[i][0].y),
cvPoint(squares[i][0].x + lineLength,
squares[i][0].y), cvScalar(0, 0, 255, 0),
8, 4);
cv::line(image,
cvPoint(squares[i][0].x, squares[i][0].y),
cvPoint(squares[i][0].x,
squares[i][0].y + lineLength),
cvScalar(0, 0, 255, 0), 8, 4);
/**
* right bottom
*/
cv::line(image, cvPoint(squares[i][1].x,
squares[i][1].y),
cvPoint(squares[i][1].x - lineLength,
squares[i][1].y), cvScalar(0, 0, 255, 0),
8, 4);
cv::line(image, cvPoint(squares[i][1].x,
squares[i][1].y),
cvPoint(squares[i][1].x,
squares[i][1].y + lineLength),
cvScalar(0, 0, 255, 0), 8, 4);
/**
* left bottom
*/
cv::line(image, cvPoint(squares[i][2].x,
squares[i][2].y),
cvPoint(squares[i][2].x,
squares[i][2].y - lineLength),
cvScalar(255, 255, 255, 0), 8, 4);
cv::line(image, cvPoint(squares[i][2].x,
squares[i][2].y),
cvPoint(squares[i][2].x - lineLength,
squares[i][2].y),
cvScalar(255, 255, 255, 0), 8, 4);
/**
* left top
*/
cv::line(image, cvPoint(squares[i][3].x,
squares[i][3].y),
cvPoint(squares[i][3].x + lineLength,
squares[i][3].y),
cvScalar(255, 255, 255, 0), 8, 4);
cv::line(image, cvPoint(squares[i][3].x,
squares[i][3].y),
cvPoint(squares[i][3].x,
squares[i][3].y - lineLength),
cvScalar(255, 255, 255, 0), 8, 4);
// selectFeatureBounds(image, cvPoint(squares[i][3].x,
// squares[i][3].y),
// cvPoint(squares[i][1].x,
// squares[i][1].y), image.size);
}
}
void
main(JNIEnv *, jobject, jlong addrGray, jlong addrRgba) {
Mat &image = *(Mat *) addrRgba;
vector<vector<Point> > squares;
Mat newImage = image.clone();
float scale = 0.25;
resize(image, newImage, Size(), scale, scale);
findSquares(newImage, squares, scale);
drawSquares(image, squares);
newImage.release();
}
}