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findcountour-new.h
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#include <stdio.h>
#include <math.h>
#include <fstream>
#include <iostream>
#include <string>
#include <vector>
#include <time.h>
#include <opencv2/opencv.hpp>
#include <opencv2/nonfree/nonfree.hpp>
#include <opencv2/nonfree/features2d.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv/cv.h>
#include <opencv/cxcore.h>
#include <opencv/highgui.h>
using namespace std;
using namespace cv;
class FindCountour
{
private:
string save_path_;
string output_file_;
int main_count_;
ofstream file_handler_;
public:
FindCountour(char *save_path):
save_path_(save_path), output_file_(""), main_count_(0)
{}
FindCountour(char *save_path, char *output_file, int start_count):
save_path_(save_path), output_file_(output_file), main_count_(start_count)
{
file_handler_.open(output_file, ios::app);
}
~FindCountour()
{
if(file_handler_)
{
file_handler_.close();
}
}
IplImage * translation(IplImage *src,int dix,int diy)//平移
{
IplImage *pSrcImage = cvCreateImage(cvGetSize(src), src->depth, src->nChannels);
for(int i=0;i<src->height;i++)
{
for(int j=0;j<src->width;j++)
{
CvScalar color=cvGet2D(src,i,j);
cvSet2D(pSrcImage,(i+diy)%src->height,(j+dix)%src->width,color);
}
}
//cvNamedWindow("dst");
//cvShowImage("dst",pSrcImage);
//cvWaitKey(0);
return pSrcImage;
//cvReleaseImage(&pSrcImage);
//cvReleaseImage(&src);
cvDestroyWindow("dst");
}
IplImage* transform(IplImage *src,double scale)//缩放
{
IplImage* dst=cvCreateImage(cvGetSize(src),IPL_DEPTH_8U, src->nChannels);
cvCopy(src,dst,0);
cvSetImageROI(dst,cvRect(121,45,137,208));
cvNamedWindow("dst", CV_WINDOW_AUTOSIZE);
cvShowImage("dst", dst); //dst 是剪裁后的图片
cvWaitKey(0);
//double scale=0.5;
CvSize czSize;
czSize.width = src->width * scale;
czSize.height = src->height * scale;
IplImage *pSrcImage = cvCreateImage(czSize, src->depth, src->nChannels);//缩放后的照片
cvResize(dst, pSrcImage, CV_INTER_AREA); //缩放图片
cvNamedWindow("pSrcImage", CV_WINDOW_AUTOSIZE);
cvShowImage("pSrcImage", pSrcImage);
cvWaitKey(0);
cvResetImageROI(dst);
return dst;
}
IplImage* rotateImage2(IplImage* src,int degree)
{
double angle = degree * CV_PI / 180.;
double a = sin(angle), b = cos(angle);
int width=src->width, height=src->height;
//旋转后的新图尺寸
int width_rotate= int(height * fabs(a) + width * fabs(b));
int height_rotate=int(width * fabs(a) + height * fabs(b));
IplImage* img_rotate = cvCreateImage(cvSize(width_rotate, height_rotate), src->depth, src->nChannels);
//cvZero(img_rotate);
//保证原图可以任意角度旋转的最小尺寸
int tempLength = sqrt((double)width * width + (double)height *height) + 10;
int tempX = (tempLength + 1) / 2 - width / 2;
int tempY = (tempLength + 1) / 2 - height / 2;
//int tempX=0;
//int tempY=0;
IplImage* temp = cvCreateImage(cvSize(tempLength, tempLength), src->depth, src->nChannels);
//cvZero(temp);
//将原图复制到临时图像tmp中心
cvSetImageROI(temp, cvRect(tempX, tempY, width, height));
cvCopy(src, temp, NULL);
cvResetImageROI(temp);
//旋转数组map
// [ m0 m1 m2 ] ===> [ A11 A12 b1 ]
// [ m3 m4 m5 ] ===> [ A21 A22 b2 ]
float m[6];
int w = temp->width;
int h = temp->height;
m[0] = b;
m[1] = a;
m[3] = -m[1];
m[4] = m[0];
// 将旋转中心移至图像中间
m[2] = w * 0.5f;
m[5] = h * 0.5f;
CvMat M = cvMat(2, 3, CV_32F, m);
cvGetQuadrangleSubPix(temp, img_rotate, &M);
cvReleaseImage(&temp);
return img_rotate;//旋转后的图片
}
void rotateImage1(IplImage* img, IplImage *img_rotate,int degree)
{
//旋转中心为图像中心
CvPoint2D32f center;
center.x=float (img->width/2.0+0.5);
center.y=float (img->height/2.0+0.5);
//计算二维旋转的仿射变换矩阵
float m[6];
CvMat M = cvMat( 2, 3, CV_32F, m );
cv2DRotationMatrix( center, degree,1, &M);
//变换图像，并用黑色填充其余值
cvWarpAffine(img,img_rotate, &M,CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS,cvScalarAll(0) );
}
//
// IplImage *
void originalpicture(IplImage *src,int Threshold,double scale,float degree,int dix,int diy)
{
IplImage *dst = cvCreateImage(cvGetSize(src), src->depth, src->nChannels);
cvCopy(src,dst,0);
// cvNamedWindow("src", CV_WINDOW_AUTOSIZE);
// cvShowImage("src", dst); //灰度图
//cvWaitKey(0);
IplImage *gray = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 1);
cvCvtColor(dst, gray, CV_BGR2GRAY);
IplImage *binary = cvCreateImage(cvGetSize(gray), IPL_DEPTH_8U, 1);
cvThreshold(gray, binary, Threshold, 255, CV_THRESH_BINARY);
//cvNamedWindow("gray", CV_WINDOW_AUTOSIZE);
//cvShowImage("gray", binary); //灰度图
//cvWaitKey(0);
CvMemStorage *pcvMStorage = cvCreateMemStorage();
CvSeq *pcvSeq = NULL;
cvFindContours(binary, pcvMStorage, &pcvSeq, sizeof(CvContour), CV_RETR_LIST , CV_CHAIN_APPROX_SIMPLE, cvPoint(0, 0));//找出轮廓
IplImage *pOutlineImage = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 3);
//IplImage *pOutlineImage = cvCreateImage(cvGetSize(dst), IPL_DEPTH_8U, 3);
cvDrawContours(pOutlineImage, pcvSeq, CV_RGB(255,0,0), CV_RGB(0,255,0), 1, 2);//画出轮廓
//cvNamedWindow("grapcvSeqy", CV_WINDOW_AUTOSIZE);
//cvShowImage("grapcvSeqy", pOutlineImage); //灰度图
//cvWaitKey(0);
IplImage *pOutImage = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 3);
// IplImage *pOutImage = cvCreateImage(cvGetSize(dst), IPL_DEPTH_8U, 3);
//................................过滤出物体的轮廓.................................................//
double maxarea=0;
double max=0;
CvSeq* tmppcvseq =pcvSeq;
for(;tmppcvseq !=0; tmppcvseq = tmppcvseq->h_next)
{
// area=fabs(cvContourArea(pcvSeq,CV_WHOLE_SEQ));
double area=fabs(cvContourArea(tmppcvseq));
if(area >maxarea)
{
maxarea=area;
}
}
//cout<<"maxarea"<<maxarea<<endl;
CvSeq *cPrev = pcvSeq;
CvSeq *cNext = NULL;
bool first= true;
for(CvSeq *c = pcvSeq;c!= NULL;c= cNext)
{
double area1 = fabs(cvContourArea(c) );
if(area1 <maxarea *0.01||area1==maxarea)
{
cNext = c->h_next;
cvClearSeq(c);
//cvClearMemStorage(c->storage);//回收内存
continue;
}//if
else
{
if(first)
pcvSeq = c;
first = false;
cvDrawContours(pOutlineImage, c, CV_RGB(255,0,0), CV_RGB(0,255,0), 0,2,8);
}
cNext= c->h_next;
}//for first_constours;
//cvNamedWindow("pOutlineImage1", CV_WINDOW_AUTOSIZE);
//cvShowImage("pOutlineImage1", pOutlineImage); //轮廓图
//cvWaitKey(0);
CvSeq* tmpseq =pcvSeq;
for(;tmpseq !=0; tmpseq = tmpseq->h_next)
{
double Area=fabs(cvContourArea(tmpseq));
//cout<<"Area===="<<Area<<endl;
}//判断是否只有一个area
//。。。。。。。。。。。。。。。。。。。。。最小外接矩形。。。。。。。。。。。。。。。。。。。。。。。。。。。//
IplImage *dst_img = cvCreateImage(cvGetSize(src), IPL_DEPTH_8U, 3);
//IplImage *dst_img = cvCreateImage(cvGetSize(dst), IPL_DEPTH_8U, 3);
CvBox2D rect = cvMinAreaRect2(pcvSeq);
//cout<<"center. "<<rect.center.x<<" "<<rect.center.y<<endl;// 盒子的中心
//cout<<"rect1.size.height=="<<rect.size.height<<" "<<"rect1.size.width=="<<rect.size.width<<endl;//盒子的长和宽
//cout<<"rect1.angle=="<<rect.angle<<endl;//注意夹角 angle 是水平轴逆时针旋转，与碰到的第一个边（不管是高还是宽）的夹角
//。。。。。。。。。。。。。。。。。。。。。。。。如果最小外接矩形是正的。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。//
if(rect.angle==0)
{
anglee=degree;
CvPoint2D32f rect_pts0[4];
cvBoxPoints(rect, rect_pts0);
int npts = 4;
CvPoint rect_pts[4], *pt = rect_pts;
for (int rp=0; rp<4; rp++)
{
rect_pts[rp]= cvPointFrom32f(rect_pts0[rp]);
//cout<<rp<<" "<<".x"<<rect_pts[rp].x<<" "<<".y"<<rect_pts[rp].y<<endl;//最小外接矩形的顶点坐标
}
cvPolyLine(dst_img, &pt, &npts, 1, 1, CV_RGB(0,255,0), 2);
//cvNamedWindow("dst_img", CV_WINDOW_AUTOSIZE);
//cvShowImage("dst_img", dst_img); //dst_img最小外接矩形的轮廓
//cvWaitKey(0);
cvSetImageROI(dst,cvRect(rect_pts[1].x,rect_pts[1].y,rect.size.width,rect.size.height));////剪裁
//cvNamedWindow("dst", CV_WINDOW_AUTOSIZE);
//cvShowImage("dst", dst); //dst 是剪裁后的图片
//cvWaitKey(0);
CvSize czSize;
czSize.width = rect.size.width * scale;
czSize.height = rect.size.height * scale;
IplImage *pSrcImage = cvCreateImage(czSize, src->depth, src->nChannels);//缩放后的照片
cvResize(dst, pSrcImage, CV_INTER_AREA); //pSrcImage是缩放后的图片
Mat image2=pSrcImage;
//cvNamedWindow("suofang", CV_WINDOW_AUTOSIZE);
//cvShowImage("suofang", pSrcImage); //pSrcImage 是缩放后的图片
//cvWaitKey(0);
// CvSize czSize1;
czSize1.width =src->width *2;
czSize1.height = src->height *2 ;
// czSize1.width =dst->width *2;
//czSize1.height = dst->height *2 ;
//cout<<"====="<<endl;
//cout<<"czSize.width==="<<czSize.width<<" "<<"czSize.height "<<czSize.height <<endl;
//cout<<"czSize1.width ==="<<czSize1.width <<" "<<"czSize1.height "<<czSize1.height <<endl;
Mat write1;
write1= Mat(czSize1,CV_8UC3);
//Rect rect0(50,50,czSize.width,czSize.height) ;
Rect rect1(rect_pts[1].x,rect_pts[1].y,czSize.width,czSize.height);
image2.copyTo(write1(rect1));
//imshow("image2",image2);
IplImage *write=&IplImage(write1);
//
// IplImage *Image = cvCreateImage(czSize1, src->depth, src->nChannels);
double angle = degree * CV_PI / 180.;
double a = sin(angle), b = cos(angle);
int width=write->width, height=write->height;
//旋转后的新图尺寸
int width_rotate= int(height * fabs(a) + width * fabs(b));
int height_rotate=int(width * fabs(a) + height * fabs(b));
IplImage* Image = cvCreateImage(cvSize(width_rotate, height_rotate), write->depth, write->nChannels);
//cvZero(img_rotate);
//保证原图可以任意角度旋转的最小尺寸
int tempLength = sqrt((double)width * width + (double)height *height) + 10;
int tempX = (tempLength + 1) / 2 - width / 2;
int tempY = (tempLength + 1) / 2 - height / 2;
//int tempX=0;
//int tempY=0;
IplImage* temp = cvCreateImage(cvSize(tempLength, tempLength), write->depth, write->nChannels);
//cvZero(temp);
//将原图复制到临时图像tmp中心
cvSetImageROI(temp, cvRect(tempX, tempY, width, height));
cvCopy(write, temp, NULL);
cvResetImageROI(temp);
//旋转数组map
// [ m0 m1 m2 ] ===> [ A11 A12 b1 ]
// [ m3 m4 m5 ] ===> [ A21 A22 b2 ]
float m[6];
int w = temp->width;
int h = temp->height;
m[0] = b;
m[1] = a;
m[3] = -m[1];
m[4] = m[0];
// 将旋转中心移至图像中间
m[2] = w * 0.5f;
m[5] = h * 0.5f;
CvMat M = cvMat(2, 3, CV_32F, m);
cvGetQuadrangleSubPix(temp, Image, &M);
cvReleaseImage(&temp);
//
// Image=rotateImage2(write,degree);//Image是旋转后的图片
// cvNamedWindow("Image", CV_WINDOW_AUTOSIZE);
//cvShowImage("Image", Image); //dst 是剪裁后的图片
//cvWaitKey(0);
//
// //。。。。。。。。。。。。deichuzuobiao 。。。。。。。。。。。。。。。。。。。。
IplImage *gray2 = cvCreateImage(cvGetSize(Image), IPL_DEPTH_8U, 1);
cvCvtColor(Image, gray2, CV_BGR2GRAY);
IplImage *binary2 = cvCreateImage(cvGetSize(gray2), IPL_DEPTH_8U, 1);
cvThreshold(gray2, binary2, 200, 255, CV_THRESH_BINARY);
// cvNamedWindow("binary", CV_WINDOW_AUTOSIZE);
//cvShowImage("binary", binary2); //binary 是二值化后的图片
//cvWaitKey(0);
IplImage *out = cvCreateImage(cvGetSize(gray2), IPL_DEPTH_8U, 3);
IplImage *out2 = cvCreateImage(cvGetSize(gray2), IPL_DEPTH_8U, 3);
CvMemStorage *pcvMStorage2 = cvCreateMemStorage();
CvSeq *pcvSeq2 = NULL;
cvFindContours(binary2, pcvMStorage2, &pcvSeq2, sizeof(CvContour), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, cvPoint(0, 0));
cvDrawContours(out, pcvSeq2, CV_RGB(255,0,0), CV_RGB(0,255,0), 1,2);
//cvNamedWindow("out1", CV_WINDOW_AUTOSIZE);
//cvShowImage("out1", out); //lunkuo
//cvWaitKey(0);
double aa=czSize.height*czSize.width;
double bb=czSize1.height*czSize1.width*3;
r=aa/bb;
//cout<<"r==="<<r<<endl;
double maxarea2=0;
CvSeq* tmp =pcvSeq2;
for(;tmp !=0; tmp = tmp->h_next)
{
// area=fabs(cvContourArea(pcvSeq,CV_WHOLE_SEQ));
double area3=fabs(cvContourArea(tmp));
//if(area3!=0)
//{cout<<"area3"<<area3<<endl;}
if(area3 >maxarea2)
{
maxarea2=area3;
}
}
// cout<<"pcvSeq->"<<pcvSeq->elem_size<<endl;
//cout<<"maxarea2"<<maxarea2<<endl;
CvSeq *fPrev = pcvSeq2;
CvSeq *fNext = NULL;
bool firstt= true;
for(CvSeq *f = pcvSeq2;f!= NULL;f= fNext)
{
double area3 = fabs(cvContourArea(f) );
if(area3<maxarea2 *r||area3==maxarea2)
{
fNext = f->h_next;
cvClearSeq(f);
//cvClearMemStorage(c->storage);//回收内存
continue;
}//if
else
{
if(firstt)
pcvSeq2 = f;
firstt = false;
cvDrawContours(out2, f, CV_RGB(255,0,0), CV_RGB(0,255,0), 0,2,8);
}
fNext= f->h_next;
}//for first_constours;
//cout<<"pcvSeq1"<<pcvSeq2->total<<endl;
CvSeq* tmq =pcvSeq2;
for(;tmq !=0; tmq = tmq->h_next)
{
double Area1=fabs(cvContourArea(tmq));
//cout<<"Area1===="<<Area1<<endl;
}
//cvNamedWindow("out2", CV_WINDOW_AUTOSIZE);
//cvShowImage("out2", out2); //灰度图
//cvWaitKey(0);
IplImage *dst_img2 = cvCreateImage(cvGetSize(Image), IPL_DEPTH_8U, 3);
CvBox2D rect3 = cvMinAreaRect2(pcvSeq2);
cout<<endl<<endl;
//cout<<"center3. "<<rect3.center.x<<" "<<rect3.center.y<<endl;// 盒子的中心
//cout<<"rect3.size.height=="<<rect3.size.height<<" "<<"rect3.size.width=="<<rect3.size.width<<endl;//盒子的长和宽
//cout<<"rect3.angle=="<<rect3.angle<<endl;//注意夹角 angle 是水平轴逆时针旋转，与碰到的第一个边（不管是高还是宽）的夹角
CvPoint2D32f rect3_pts0[4];
cvBoxPoints(rect3, rect3_pts0);
int npt3 = 4;
CvPoint rect3_pts[4], *ptt = rect3_pts;
for (int rp=0; rp<4; rp++)
{
rect3_pts[rp]= cvPointFrom32f(rect3_pts0[rp]);
//cout<<rp<<" "<<".x"<<rect3_pts[rp].x<<" "<<".y"<<rect3_pts[rp].y<<endl;//最小外接矩形的顶点坐标
}
cvPolyLine(dst_img2, &ptt, &npt3, 1, 1, CV_RGB(0,255,0), 2);
//cvNamedWindow("dst_img2", CV_WINDOW_AUTOSIZE);
//cvShowImage("dst_img2", dst_img2); //dst_img最小外接矩形的轮廓
//cvWaitKey(0);
IplImage* dst4=cvCreateImage(cvGetSize(Image),IPL_DEPTH_8U, Image->nChannels);
cvCopy(Image,dst4,0);
CvPoint p0,p1,p2,p3;
int x0=rect3_pts[0].x;
int y0=rect3_pts[0].y;
int x1=rect3_pts[1].x;
int y1=rect3_pts[1].y;
int x2=rect3_pts[2].x;
int y2=rect3_pts[2].y;
int x3=rect3_pts[3].x;
int y3=rect3_pts[3].y;
p0.x=x1;
p0.y=y2;
p1.x=x3;
p1.y=y2;
p2.x=x1;
p2.y=y0;
p3.x=x3;
p3.y=y0;
//cout<<"p0.x"<<p0.x<<"p0.y"<<p0.y<<endl;
//cout<<"p1.x"<<p1.x<<"p1.y"<<p1.y<<endl;
//cout<<"p2.x"<<p2.x<<"p2.y"<<p2.y<<endl;
//cout<<"p3.x"<<p3.x<<"p3.y"<<p3.y<<endl;
cvLine( dst4, p0, p1,CV_RGB(0,255,0), 1, 8,0 );
cvLine( dst4, p1, p3,CV_RGB(0,255,0), 1, 8,0 );
cvLine( dst4, p3, p2,CV_RGB(0,255,0), 1, 8,0 );
cvLine( dst4, p2, p0,CV_RGB(0,255,0), 1, 8,0 );
//cvNamedWindow("dst4", CV_WINDOW_AUTOSIZE);
//cvShowImage("dst4", dst4); //dst4是画了方框的图片
//cvWaitKey(0);
//..........................................................................................//
Mat write2,image3;
IplImage* dst33=cvCreateImage(cvGetSize(Image), src->depth, src->nChannels);
//IplImage *image11=cvCreateImage(cvGetSize(Image), src->depth, src->nChannels);
// IplImage *image=cvCreateImage(cvGetSize(Image), src->depth, src->nChannels);
cvCopy(Image,dst33,0);
write2= Mat(czSize1,CV_8UC3);
// CvSize cvSize;
cvSize4.height=abs(p3.x-p2.x);
cvSize4.width=abs(p0.y-p2.y);
cvSetImageROI(dst33,cvRect(p0.x,p0.y,cvSize4.height, cvSize4.width));
image3=dst33;
Rect rect11(10,10,cvSize4.height, cvSize4.width);
image3.copyTo(write2(rect11));
IplImage * image11=&IplImage(write2);
//
//
////.............................................................
double angle1 =0 * CV_PI / 180.;
double a1 = sin(angle1), b1 = cos(angle1);
int width1=image11->width, height1=image11->height;
//旋转后的新图尺寸
int width_rotate1= int(height1 * fabs(a1) + width1 * fabs(b1));
int height_rotate1=int(width1 * fabs(a1) + height1 * fabs(b1));
//IplImage* image = cvCreateImage(cvSize(width_rotate1, height_rotate1), image11->depth, image11->nChannels);
imagee= cvCreateImage(cvSize(width_rotate1, height_rotate1), image11->depth, image11->nChannels);
//cvZero(img_rotate);
//保证原图可以任意角度旋转的最小尺寸
int tempLength1 = sqrt((double)width1 * width1 + (double)height1 *height1) + 10;
int tempX1 = (tempLength1 + 1) / 2 - width1 / 2;
int tempY1 = (tempLength1 + 1) / 2 - height1 / 2;
IplImage* temp1 = cvCreateImage(cvSize(tempLength1, tempLength1), image11->depth, image11->nChannels);
//cvZero(temp);
//将原图复制到临时图像tmp中心
cvSetImageROI(temp1, cvRect(tempX1, tempY1, width1, height1));
cvCopy(image11, temp1, NULL);
cvResetImageROI(temp1);
//旋转数组map
//[ m0 m1 m2 ] ===> [ A11 A12 b1 ]
//[ m3 m4 m5 ] ===> [ A21 A22 b2 ]
float m1[6];
int w1 = temp1->width;
int h1 = temp1->height;
m1[0] = b1;
m1[1] = a1;
m1[3] = -m1[1];
m1[4] = m1[0];
// 将旋转中心移至图像中间
m1[2] = w1 * 0.5f;
m1[5] = h1 * 0.5f;
CvMat M1 = cvMat(2, 3, CV_32F, m1);
cvGetQuadrangleSubPix(temp1, imagee, &M1);
cvReleaseImage(&temp1);
//.....................................
//image=rotateImage2(image11,0);
// cvNamedWindow("Image", CV_WINDOW_AUTOSIZE);
//cvShowImage("Image", image); //Image 是剪裁，旋转，缩放的图片
//cvWaitKey(0);
//cout<<"rect.height==="<<cvSize4.height<<" "<<"cvSize.width==="<<cvSize4.width<<endl;
//cout<<"pic.height==="<<czSize1.height<<" "<<"pic.width==="<< czSize1.width <<endl;
// cout<<"能移动y距离==="<<czSize1.height-cvSize4.width-12<<" "<<"能移动x距离"<<czSize1.width-cvSize4.height-12<<endl;
//.......................................................................//
//cout<<"p0.x"<<" "<<10<<"p0.y"<<" "<<10<<endl;
//cout<<"p1.x"<<p1.x-p0.x+10<<" "<<"p1.y"<<p1.y-p0.y+10<<endl;
//cout<<"p2.x"<<p2.x-p0.x+10<<" "<<"p2.y"<<p2.y-p0.y+10<<endl;
//cout<<"p3.x"<<p3.x-p0.x+10<<" "<<"p3.y"<<p3.y-p0.y+10<<endl;
{
p00.x=0+10;
p00.y=0+10;
p11.x=p1.x-p0.x+10;
p11.y=p1.y-p0.y+10;
p22.x=p2.x-p0.x+10;
p22.y=p2.y-p0.y+10;
p33.x=p3.x-p0.x+10;
p33.y=p3.y-p0.y+10;
//cvLine( image, p00, p11,CV_RGB(0,255,0), 1, 8,0 );
//cvLine( image, p11, p33,CV_RGB(0,255,0), 1, 8,0 );
//cvLine( image, p33, p22,CV_RGB(0,255,0), 1, 8,0 );
//cvLine( image, p22, p00,CV_RGB(0,255,0), 1, 8,0 );
//cout<<endl<<endl;
//cout<<"平移后坐标"<<endl<<endl;
//cout<<"p0.x==="<<" "<<10+dix<<" "<<"p0.y==="<<10+diy<<endl;
//cout<<"p1.x==="<<p1.x-p0.x+dix+10<<" "<<"p1.y==="<<p1.y-p0.y+diy+10<<endl;
//cout<<"p2.x==="<<p2.x-p0.x+dix+10<<" "<<"p2.y==="<<p2.y-p0.y+diy+10<<endl;
//cout<<"p3.x==="<<p3.x-p0.x+dix+10<<" "<<"p3.y==="<<p3.y-p0.y+diy+10<<endl;
//cout<<"转动角度==="<< degree<<endl;
}
//cvNamedWindow("Image", CV_WINDOW_AUTOSIZE);
//cvShowImage("Image", image); //Image 是剪裁，旋转，缩放的图片
//cvWaitKey(0);
cvResetImageROI(dst);
cvResetImageROI(dst33);
cvReleaseImage(&dst);
cvReleaseImage(&gray);
cvReleaseImage(&binary);
cvReleaseImage(&pOutlineImage);
cvReleaseImage(&pOutImage);
cvReleaseImage(&dst_img);
cvReleaseImage(&pSrcImage);
cvReleaseImage(&Image);
cvReleaseImage(&gray2);
cvReleaseImage(&binary2);
cvReleaseImage(&out);
cvReleaseImage(&out2);
cvReleaseMemStorage(&pcvMStorage);
cvReleaseMemStorage(&pcvMStorage2);
cvReleaseImage(&dst_img2);
cvReleaseImage(&dst4);
cvReleaseImage(&dst33);
//return image;
//............................................................................................................................//
}
if(rect.angle!=0)//如果最小外接矩形是倾斜的
{
double angle = -rect.angle * CV_PI / 180.;
double a = sin(angle), b = cos(angle);
int width=dst->width, height=dst->height;
//旋转后的新图尺寸
int width_rotate= int(height * fabs(a) + width * fabs(b));
int height_rotate=int(width * fabs(a) + height * fabs(b));
IplImage* zhuan = cvCreateImage(cvSize(width_rotate, height_rotate), dst->depth, dst->nChannels);
//cvZero(img_rotate);
//保证原图可以任意角度旋转的最小尺寸
int tempLength = sqrt((double)width * width + (double)height *height) + 10;
int tempX = (tempLength + 1) / 2 - width / 2;
int tempY = (tempLength + 1) / 2 - height / 2;
//int tempX=0;
//int tempY=0;
IplImage* temp = cvCreateImage(cvSize(tempLength, tempLength), dst->depth, dst->nChannels);
//cvZero(temp);
//将原图复制到临时图像tmp中心
cvSetImageROI(temp, cvRect(tempX, tempY, width, height));
cvCopy(dst, temp, NULL);
cvResetImageROI(temp);
//旋转数组map
// [ m0 m1 m2 ] ===> [ A11 A12 b1 ]
// [ m3 m4 m5 ] ===> [ A21 A22 b2 ]
float m[6];
int w = temp->width;
int h = temp->height;
m[0] = b;
m[1] = a;
m[3] = -m[1];
m[4] = m[0];
// 将旋转中心移至图像中间
m[2] = w * 0.5f;
m[5] = h * 0.5f;
CvMat M = cvMat(2, 3, CV_32F, m);
cvGetQuadrangleSubPix(temp, zhuan, &M);
cvReleaseImage(&temp);
//IplImage *zhuan = cvCreateImage(cvGetSize(dst_img),dst_img->depth, dst_img->nChannels);
//IplImage * img_rotate = cvCreateImage(cvSize(width_rotate,height_rotate),dst->depth, dst->nChannels);
//zhuan=rotateImage2(dst,-rect.angle);//旋转后的图片
//zhuan=rotateImage2(dst,img_rotate,-rect.angle);
anglee=-rect.angle-degree;
//cvNamedWindow("zhuan", CV_WINDOW_AUTOSIZE);
//cvShowImage("zhuan", img_rotate); //binary 是二值化后的图片
//cvWaitKey(0);
IplImage* dst2=cvCreateImage(cvGetSize(zhuan),IPL_DEPTH_8U, src->nChannels);
cvCopy(zhuan,dst2,0);
IplImage *gray1 = cvCreateImage(cvGetSize(zhuan), IPL_DEPTH_8U, 1);
cvCvtColor(zhuan, gray1, CV_BGR2GRAY);
IplImage *binary1 = cvCreateImage(cvGetSize(gray1), IPL_DEPTH_8U, 1);
cvThreshold(gray1, binary1, 200, 255, CV_THRESH_BINARY);
//// cvNamedWindow("binary", CV_WINDOW_AUTOSIZE);
////cvShowImage("binary", binary1); //binary 是二值化后的图片
////cvWaitKey(0);
CvMemStorage *pcvMStorage1 = cvCreateMemStorage();
CvSeq *pcvSeq1 = NULL;
cvFindContours(binary1, pcvMStorage1, &pcvSeq1, sizeof(CvContour), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, cvPoint(0, 0));
// cvNamedWindow("binary1", CV_WINDOW_AUTOSIZE);
//cvShowImage("binary1", binary1); //binary 是二值化后的图片
//cvWaitKey(0);
//cvFindContours(binary,pcvMStorage,&pcvSeq,CV_RETR_EXTERNAL,CV_CHAIN_APPROX_NONE);
IplImage *dst_img1 = cvCreateImage(cvGetSize(zhuan), IPL_DEPTH_8U, 3);
CvBox2D rect1 = cvMinAreaRect2(pcvSeq1);
cout<<endl<<endl;
//cout<<"center2. "<<rect1.center.x<<" "<<rect1.center.y<<endl;// 盒子的中心
//cout<<"rect2.size.height=="<<rect1.size.height<<" "<<"rect2.size.width=="<<rect1.size.width<<endl;//盒子的长和宽
//cout<<"rect2.angle=="<<rect1.angle<<endl;//注意夹角 angle 是水平轴逆时针旋转，与碰到的第一个边（不管是高还是宽）的夹角
CvPoint2D32f rect_pts1[4];
cvBoxPoints(rect1, rect_pts1);
int npt = 4;
CvPoint rect_ptss[4], *pt1 = rect_ptss;
for (int rp=0; rp<4; rp++)
{
rect_ptss[rp]= cvPointFrom32f(rect_pts1[rp]);
//cout<<rp<<" "<<".x"<<rect_ptss[rp].x<<" "<<".y"<<rect_ptss[rp].y<<endl;//最小外接矩形的顶点坐标
}
cvPolyLine(dst_img1, &pt1, &npt, 1, 1, CV_RGB(0,255,0), 2);
//cvNamedWindow("dst_img1", CV_WINDOW_AUTOSIZE);
//cvShowImage("dst_img1", dst_img1); //dst_img1t 是最小外接矩形的轮廓图
//cvWaitKey(0);
// CvSize czSize;
// czSize.width =rect.size.width;
// czSize.height =rect.size.height;
//IplImage* dst=cvCreateImage(czSize,IPL_DEPTH_8U, src->nChannels);
cvSetImageROI(dst2,cvRect(rect_ptss[1].x,rect_ptss[1].y,rect1.size.width,rect1.size.height));////剪裁
//cvNamedWindow("dst2", CV_WINDOW_AUTOSIZE);
//cvShowImage("dst2", dst2); //dst 是剪裁后的图片
//cvWaitKey(0);
CvSize czSize;
czSize.width = rect.size.width * scale;
czSize.height = rect.size.height * scale;
IplImage *pSrcImage = cvCreateImage(czSize, src->depth, src->nChannels);//缩放后的照片
cvResize(dst2, pSrcImage, CV_INTER_AREA); //缩放后的图片
Mat image2=pSrcImage;
//cvNamedWindow("pSrcImage", CV_WINDOW_AUTOSIZE);
//cvShowImage("pSrcImage", pSrcImage); //dst 是剪裁后的图片
//cvWaitKey(0);
// CvSize czSize1;
czSize1.width = src->width *2;
czSize1.height =src->height *2;
//cout<<"czSize.width==="<<czSize.width<<" "<<"czSize.height "<<czSize.height <<endl;
//cout<<"czSize1.width ==="<<czSize1.width <<" "<<"czSize1.height "<<czSize1.height <<endl;
if(czSize.width>czSize1.width||czSize.height>czSize1.height)
{
cout<<"放大尺寸超出图片尺寸"<<endl;
}
Mat write1;
write1= Mat(czSize1,CV_8UC3);
Rect rect(rect_ptss[1].x,rect_ptss[1].y,czSize.width,czSize.height);
image2.copyTo(write1(rect));
IplImage *write=&IplImage(write1);
//IplImage *Image = cvCreateImage(czSize1, src->depth, src->nChannels);
//........................................................................................
double angle1 =degree * CV_PI / 180.;
double a1 = sin(angle), b1 = cos(angle);
int width1=write->width, height1=write->height;
//旋转后的新图尺寸
int width_rotate1= int(height1 * fabs(a1) + width1 * fabs(b1));
int height_rotate1=int(width1 * fabs(a1) + height1 * fabs(b1));
IplImage* Image = cvCreateImage(cvSize(width_rotate1, height_rotate1), write->depth, write->nChannels);
//cvZero(img_rotate);
//保证原图可以任意角度旋转的最小尺寸
int tempLength1 = sqrt((double)width1 * width1 + (double)height1 *height1) + 10;
int tempX1 = (tempLength1 + 1) / 2 - width1 / 2;
int tempY1 = (tempLength1 + 1) / 2 - height1 / 2;
//int tempX=0;
//int tempY=0;
IplImage* temp1 = cvCreateImage(cvSize(tempLength1, tempLength1), write->depth, write->nChannels);
//cvZero(temp);
//将原图复制到临时图像tmp中心
cvSetImageROI(temp1, cvRect(tempX1, tempY1, width1, height1));
cvCopy(write, temp1, NULL);
cvResetImageROI(temp1);
//旋转数组map
// [ m0 m1 m2 ] ===> [ A11 A12 b1 ]
// [ m3 m4 m5 ] ===> [ A21 A22 b2 ]
float m1[6];
int w1 = temp1->width;
int h1 = temp1->height;
m1[0] = b;
m1[1] = a;
m1[3] = -m1[1];
m1[4] = m1[0];
// 将旋转中心移至图像中间
m1[2] = w1 * 0.5f;
m1[5] = h1 * 0.5f;
CvMat M1 = cvMat(2, 3, CV_32F, m1);
cvGetQuadrangleSubPix(temp1, Image, &M1);
cvReleaseImage(&temp1);
////......................................................................................................
//
// //Image=rotateImage2(write,degree);//旋转后的图片
// // cvNamedWindow("Image", CV_WINDOW_AUTOSIZE);
// //cvShowImage("Image", Image); //灰度图
// //cvWaitKey(0);
//
//
////...........................得出处理后的目标图片的坐标..........................................................................
//
IplImage *gray2 = cvCreateImage(cvGetSize(Image), IPL_DEPTH_8U, 1);
cvCvtColor(Image, gray2, CV_BGR2GRAY);
IplImage *binary2 = cvCreateImage(cvGetSize(gray2), IPL_DEPTH_8U, 1);
cvThreshold(gray2, binary2, 200, 255, CV_THRESH_BINARY);
// cvNamedWindow("binary", CV_WINDOW_AUTOSIZE);
//cvShowImage("binary", binary2); //binary 是二值化后的图片
//cvWaitKey(0);
IplImage *out = cvCreateImage(cvGetSize(gray2), IPL_DEPTH_8U, 3);
IplImage *out2 = cvCreateImage(cvGetSize(gray2), IPL_DEPTH_8U, 3);
CvMemStorage *pcvMStorage2 = cvCreateMemStorage();
CvSeq *pcvSeq2 = NULL;
cvFindContours(binary2, pcvMStorage2, &pcvSeq2, sizeof(CvContour), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, cvPoint(0, 0));
cvDrawContours(out, pcvSeq2, CV_RGB(255,0,0), CV_RGB(0,255,0), 1,2);
//cvNamedWindow("out1", CV_WINDOW_AUTOSIZE);
//cvShowImage("out1", out); //灰度图
//cvWaitKey(0);
double maxarea2=0;
CvSeq* tmp =pcvSeq2;
for(;tmp !=0; tmp = tmp->h_next)
{
// area=fabs(cvContourArea(pcvSeq,CV_WHOLE_SEQ));
double area3=fabs(cvContourArea(tmp));
//if(area3!=0)
//{cout<<"area3"<<area3<<endl;}
if(area3 >maxarea2)
{
maxarea2=area3;
}
}
// cout<<"pcvSeq->"<<pcvSeq->elem_size<<endl;
//cout<<"maxarea2"<<maxarea2<<endl;
double aa=czSize.height*czSize.width;
double bb=czSize1.height*czSize1.width*3;
r=aa/bb;
//cout<<"r==="<<r<<endl;
CvSeq *fPrev = pcvSeq2;
CvSeq *fNext = NULL;
bool firstt= true;
for(CvSeq *f = pcvSeq2;f!= NULL;f= fNext)
{
double area3 = fabs(cvContourArea(f) );
if(area3<maxarea2 *r||area3==maxarea2)
{
fNext = f->h_next;
cvClearSeq(f);
//cvClearMemStorage(c->storage);//回收内存
continue;
}//if
else
{
if(firstt)
pcvSeq2 = f;
firstt = false;
cvDrawContours(out2, f, CV_RGB(255,0,0), CV_RGB(0,255,0), 0,2,8);
}
fNext= f->h_next;
}//for first_constours;
CvSeq* tmq =pcvSeq2;
for(;tmq !=0; tmq = tmq->h_next)
{
double Area1=fabs(cvContourArea(tmq));
//cout<<"Area1===="<<Area1<<endl;
}
//cvNamedWindow("out2", CV_WINDOW_AUTOSIZE);
//cvShowImage("out2", out2);
//cvWaitKey(0);
//
//
//
IplImage *dst_img2 = cvCreateImage(cvGetSize(Image), IPL_DEPTH_8U, 3);
CvBox2D rect3 = cvMinAreaRect2(pcvSeq2);
cout<<endl<<endl;
//cout<<"center3. "<<rect3.center.x<<" "<<rect3.center.y<<endl;// 盒子的中心
//cout<<"rect3.size.height=="<<rect3.size.width<<" "<<"rect3.size.width=="<<rect3.size.height<<endl;//盒子的长和宽
//cout<<"rect3.angle=="<<rect3.angle<<endl;//注意夹角 angle 是水平轴逆时针旋转，与碰到的第一个边（不管是高还是宽）的夹角
CvPoint2D32f rect3_pts0[4];
cvBoxPoints(rect3, rect3_pts0);
int npt3 = 4;
CvPoint rect3_pts[4], *ptt = rect3_pts;
for (int rp=0; rp<4; rp++)
{
rect3_pts[rp]= cvPointFrom32f(rect3_pts0[rp]);
//cout<<rp<<" "<<".x"<<rect3_pts[rp].x<<" "<<".y"<<rect3_pts[rp].y<<endl;//最小外接矩形的顶点坐标
}
cvPolyLine(dst_img2, &ptt, &npt3, 1, 1, CV_RGB(0,255,0), 2);
//cvNamedWindow("dst_img2", CV_WINDOW_AUTOSIZE);
//cvShowImage("dst_img2", dst_img2); //dst_img最小外接矩形的轮廓
//cvWaitKey(0);
//..........................求出正矩形坐标.......................................//
IplImage* dst4=cvCreateImage(cvGetSize(Image),IPL_DEPTH_8U, Image->nChannels);
cvCopy(Image,dst4,0);
CvPoint p0,p1,p2,p3;
int x0=rect3_pts[0].x;
int y0=rect3_pts[0].y;
int x1=rect3_pts[1].x;
int y1=rect3_pts[1].y;
int x2=rect3_pts[2].x;
int y2=rect3_pts[2].y;
int x3=rect3_pts[3].x;
int y3=rect3_pts[3].y;