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OpenCV 之ios 创建包围轮廓的矩形和圆形边界框

OpenCV 之ios 创建包围轮廓的矩形和圆形边界框

作者: 充满活力的早晨 | 来源:发表于2019-11-18 19:51 被阅读0次

    OpenCV 之ios 创建包围轮廓的矩形和圆形边界框

    目标

    在这节教程中您将学到:

    • 使用OpenCV函数 boundingRect 来计算包围轮廓的矩形框.
    • 使用OpenCV函数 minEnclosingCircle 来计算完全包围已有轮廓最小圆.

    代码

    
    #ifdef __cplusplus
    #import <opencv2/opencv.hpp>
    #import <opencv2/imgcodecs/ios.h>
    #import <opencv2/imgproc.hpp>
    #import <opencv2/highgui.hpp>
    #import <opencv2/core/operations.hpp>
    
    #import <opencv2/core/core_c.h>
    using namespace cv;
    using namespace std;
    
    #endif
    #import "BoundingRectsCirclesViewController.h"
    
    @interface BoundingRectsCirclesViewController ()
    
    @end
    
    @implementation BoundingRectsCirclesViewController
    /// 全局变量
    Mat src; Mat src_gray;
    int thresh = 100;
    int max_thresh = 255;
    RNG rng(12345);
    
    
    - (void)viewDidLoad {
        [super viewDidLoad];
       
        UIImage * srcImage = [UIImage imageNamed:@"qiqiu.png"];
        src  = [self cvMatFromUIImage:srcImage];
      UIImageView *imageView;
            imageView = [self createImageViewInRect:CGRectMake(0, 100, 150, 150)];
            [self.view addSubview:imageView];
            imageView.image  = [self UIImageFromCVMat:src];
        cvtColor( src, src_gray, CV_BGR2GRAY );
        blur( src_gray, src_gray, cv::Size(3,3) );
    
        imageView = [self createImageViewInRect:CGRectMake(0, 250, 150, 150)];
        [self.view addSubview:imageView];
        imageView.image  = [self UIImageFromCVMat:src_gray];
        
        [self createSliderFrame:CGRectMake(150, 400, 150, 50) maxValue:max_thresh currentValue:thresh  minValue:0 block:^(float value) {
               thresh= value;
               [self thresh_callback];
           }];
        [self thresh_callback];
    }
    
    -(void)thresh_callback{
        Mat threshold_output;
        vector<vector<cv::Point> > contours;
        vector<Vec4i> hierarchy;
       /// 对图像进行二值化
        threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY );
       /// 找到轮廓
        findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cv::Point(0, 0) );
        Mat drawing1 = Mat::zeros( threshold_output.size(), CV_8UC3 );
          for( int i = 0; i< contours.size(); i++ )
            {
            Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
            drawContours( drawing1, contours, i, color, 2, 8, hierarchy, 0, cv::Point() );
        }
        UIImageView *imageView;
              imageView = [self createImageViewInRect:CGRectMake(150, 100, 150, 150)];
              [self.view addSubview:imageView];
              imageView.image  = [self UIImageFromCVMat:drawing1];
        
        
        /// 多边形逼近轮廓 + 获取矩形和圆形边界框
        vector<vector<cv::Point> > contours_poly( contours.size() );
        vector<cv::Rect> boundRect( contours.size() );
         vector<Point2f>center( contours.size() );
         vector<float>radius( contours.size() );
        
        for( int i = 0; i < contours.size(); i++ )
        { approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true );
          boundRect[i] = boundingRect( Mat(contours_poly[i]) );
          minEnclosingCircle( contours_poly[i], center[i], radius[i] );
        }
        
        Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
        for( int i = 0; i< contours.size(); i++ )
           {
             Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
               drawContours( drawing, contours_poly, i, color, 1, 8, vector<Vec4i>(), 0, cv::Point() );
             rectangle( drawing, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 0 );
             circle( drawing, center[i], (int)radius[i], color, 2, 8, 0 );
           }
        
    
        imageView = [self createImageViewInRect:CGRectMake(150, 250, 150, 150)];
        [self.view addSubview:imageView];
        imageView.image  = [self UIImageFromCVMat:drawing];
    }
    
    #pragma mark  - private
    //brg
    - (cv::Mat)cvMatFromUIImage:(UIImage *)image
    {
      CGColorSpaceRef colorSpace =CGColorSpaceCreateDeviceRGB();
        
      CGFloat cols = image.size.width;
      CGFloat rows = image.size.height;
        Mat cvMat(rows, cols, CV_8UC4); // 8 bits per component, 4 channels (color channels + alpha)
      CGContextRef contextRef = CGBitmapContextCreate(cvMat.data,                 // Pointer to  data
                                                     cols,                       // Width of bitmap
                                                     rows,                       // Height of bitmap
                                                     8,                          // Bits per component
                                                     cvMat.step[0],              // Bytes per row
                                                     colorSpace,                 // Colorspace
                                                     kCGImageAlphaNoneSkipLast |
                                                     kCGBitmapByteOrderDefault); // Bitmap info flags
      CGContextDrawImage(contextRef, CGRectMake(0, 0, cols, rows), image.CGImage);
      CGContextRelease(contextRef);
        
        Mat dst;
        Mat src;
        cvtColor(cvMat, dst, COLOR_RGBA2BGRA);
        cvtColor(dst, src, COLOR_BGRA2BGR);
    
      return src;
    }
    
    -(UIImage *)UIImageFromCVMat:(cv::Mat)cvMat
    {
    //    mat 是brg 而 rgb
        Mat src;
        NSData *data=nil;
        CGBitmapInfo info =kCGImageAlphaNone|kCGBitmapByteOrderDefault;
        CGColorSpaceRef colorSpace;
        if (cvMat.depth()!=CV_8U) {
            Mat result;
            cvMat.convertTo(result, CV_8U,255.0);
            cvMat = result;
        }
      if (cvMat.elemSize() == 1) {
          colorSpace = CGColorSpaceCreateDeviceGray();
          data= [NSData dataWithBytes:cvMat.data length:cvMat.elemSize()*cvMat.total()];
      } else if(cvMat.elemSize() == 3){
          cvtColor(cvMat, src, COLOR_BGR2RGB);
           data= [NSData dataWithBytes:src.data length:src.elemSize()*src.total()];
          colorSpace = CGColorSpaceCreateDeviceRGB();
      }else if(cvMat.elemSize() == 4){
          colorSpace = CGColorSpaceCreateDeviceRGB();
          cvtColor(cvMat, src, COLOR_BGRA2RGBA);
          data= [NSData dataWithBytes:src.data length:src.elemSize()*src.total()];
          info =kCGImageAlphaNoneSkipLast | kCGBitmapByteOrderDefault;
      }else{
          NSLog(@"[error:] 错误的颜色通道");
          return nil;
      }
      CGDataProviderRef provider = CGDataProviderCreateWithCFData((__bridge CFDataRef)data);
      // Creating CGImage from cv::Mat
      CGImageRef imageRef = CGImageCreate(cvMat.cols,                                 //width
                                         cvMat.rows,                                 //height
                                         8,                                          //bits per component
                                         8 * cvMat.elemSize(),                       //bits per pixel
                                         cvMat.step[0],                            //bytesPerRow
                                         colorSpace,                                 //colorspace
                                         kCGImageAlphaNone|kCGBitmapByteOrderDefault,// bitmap info
                                         provider,                                   //CGDataProviderRef
                                         NULL,                                       //decode
                                         false,                                      //should interpolate
                                         kCGRenderingIntentAbsoluteColorimetric                   //intent
                                         );
      // Getting UIImage from CGImage
      UIImage *finalImage = [UIImage imageWithCGImage:imageRef];
      CGImageRelease(imageRef);
      CGDataProviderRelease(provider);
      CGColorSpaceRelease(colorSpace);
      return finalImage;
     }
    @end
    
    

    结果


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