使用OpenCV从图像中提取不同尺寸的矩形

Extracting different size rectangles from image using opencv

本文关键字:OpenCV 图像 提取 使用      更新时间:2023-10-16

使用OpenCV从图像中提取不同尺寸的矩形不正常工作它不会给我们所有字符的补丁,只给我们一个补丁,但是我想要所有字符的补丁

#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
using namespace cv;
using namespace std;
Mat src; Mat src_gray;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);
/// Function header
void thresh_callback(int, void* );
/** @function main */
int main( int argc, char** argv )
{
  /// Load source image and convert it to gray
  src = imread( "1a.bmp" );
  /// Convert image to gray and blur it
  cvtColor( src, src_gray, CV_BGR2GRAY );
  blur( src_gray, src_gray, Size(3,3) );
  /// Create Window
  char* source_window = "Source";
  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
  imshow( source_window, src );
  createTrackbar( " Threshold:", "Source", &thresh, max_thresh, thresh_callback );
  thresh_callback( 0, 0 );
  waitKey(0);
  return(0);
}
/** @function thresh_callback */
void thresh_callback(int, void* )
{
  Mat threshold_output;
  vector<vector<Point> > contours;
  vector<Vec4i> hierarchy;
  /// Detect edges using Threshold
  threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY );
  /// Find contours
  findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
  /// Approximate contours to polygons + get bounding rects and circles
  vector<vector<Point> > contours_poly( contours.size() );
  vector<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( (Mat)contours_poly[i], center[i], radius[i] );
     }

  /// Draw polygonal contour + bonding rects + circles
  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, Point() );
       rectangle( drawing, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 0 );
      //circle( drawing, center[i], (int)radius[i], color, 2, 8, 0 );
     }
  /// Show in a window
  namedWindow( "Contours", CV_WINDOW_AUTOSIZE );
  imshow( "Contours", drawing );
  for(int i = 0; i < boundRect.size(); i++)
{
     Mat patch = src(boundRect[i]);
     //Do whatever you want with the patch (imshow, imwrite,...)
     imshow("Patch",patch);
}
}

我认为您不必提取矩形,因为您已经在vector<Rect> boundRect中将其提取。
如果要获取包含矩形/字符的图像的补丁,则只需要将它们切出:

stringstream ss;
for(int i = 0; i < boundRect.size(); i++)
{
     ss>>"Patch ">>i;
     Mat patch = src(boundRect[i]);
     //Do whatever you want with the patch (imshow, imwrite,...)
     imshow(ss.str(), patch);
     ss.str("");
}

@user,您也可以在OpenCV文档中尝试此此操作

CvMemStorage* storage = cvCreateMemStorage(0);
CvSeq* contours = 0;
cvFindContours( img, storage, &contours, sizeof(CvContour),
CV_RETR_LIST , CV_CHAIN_APPROX_NONE, cvPoint(0,0) );
for( CvSeq* c=contours; c!=NULL; c=c->h_next)
{
CvRect Rects = cvBoundingRect( c );
}

@dennis我也需要提取行。也指导我