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108 | /**
去除图片多余的背景,切边并且旋转
*/
#include <opencv2/opencv.hpp>
#include <iostream>
using namespace std;
using namespace cv;
void verifyRotation(Mat &img,Mat &outputImg);
void fetchROI(Mat &img);
int main(){
string path = "/home/kaijun/Documents/resource/opencv/02_qiebian.jpg";
Mat src = imread(path,IMREAD_COLOR);
// 显示图片
imshow("src",src);
Mat rotationImg;
verifyRotation(src,rotationImg);
fetchROI(rotationImg);
waitKey(0);
return 0;
}
/**
*
*/
void fetchROI(Mat &img){
// 将彩色图转成灰度图
Mat gray(img.size(),CV_8UC1);
cvtColor(img,gray,COLOR_BGR2GRAY);
imshow("gray",gray);
// 将图像二值化处理
Mat binary(img.size(),CV_8UC1);
threshold(gray,binary,0,255,THRESH_BINARY_INV|THRESH_OTSU);
imshow("binary",binary);
// 查找轮廓
vector<vector<Vec2i>> contours;
vector<Vec4i> hierarchy;
findContours(binary,contours,hierarchy,CV_RETR_EXTERNAL,CV_CHAIN_APPROX_NONE);
RotatedRect resultRect;
// 遍历轮廓，求轮廓的最大外切矩形
for(int i = 0; i<contours.size();i++){
// 取到当前遍历轮廓
RotatedRect rect = minAreaRect(contours[i]);
if(rect.size.width > img.size().width*0.75){
// 绘制轮廓
//drawContours(img,contours,i,Scalar(0,255,255),2,LINE_AA);
// 记录外切矩形
resultRect = rect;
}
}
Mat dst = img(resultRect.boundingRect());
imshow("dst123",dst);
}
void verifyRotation(Mat &img,Mat &outputImg){
// 将彩色图转成灰度图
Mat gray(img.size(),CV_8UC1);
cvtColor(img,gray,COLOR_BGR2GRAY);
imshow("gray1",gray);
// 将图像二值化处理
Mat binary(img.size(),CV_8UC1);
threshold(gray,binary,0,255,THRESH_BINARY_INV|THRESH_OTSU);
imshow("binary1",binary);
// 查找轮廓
vector<vector<Vec2i>> contours;
vector<Vec4i> hierarchy;
findContours(binary,contours,hierarchy,CV_RETR_EXTERNAL,CV_CHAIN_APPROX_NONE);
RotatedRect resultRect;
// 遍历轮廓，求轮廓的最大外切矩形
for(int i = 0; i<contours.size();i++){
// 取到当前遍历轮廓
RotatedRect rect = minAreaRect(contours[i]);
if(rect.size.width > img.size().width*0.75){
// 绘制轮廓
//drawContours(img,contours,i,Scalar(255,0,255),2,LINE_AA);
// 记录外切矩形
resultRect = rect;
}
}
// 打印图片需要旋转的角度
cout<<resultRect.angle<<endl;
// 先对图片进行旋转
Point2f center(img.cols/2,img.rows/2);
Mat matrix = getRotationMatrix2D(center,(resultRect.angle)+90,1);
warpAffine(img,outputImg,matrix,img.size());
imshow("rotateimg",outputImg);
}
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