使用Opencv删除小斑点

Question

我在visual studio 2010上使用opencv2.2。我写了一个代码来预处理OCR图像。我正在使用很多轨道条来改变参数。其中一个预处理功能是通过绘制轮廓并根据大小对其进行过滤来去除小斑点。然而，当我运行程序时，cvDrawContours函数给我一个错误。基本上，我弹出了一个错误消息，说R6010-abort已被调用。命令行说641行的matrix.cpp中有一个未知的数组类型。我在这里包括我的代码。该问题由BlobFunc函数中的cvDrawContours函数调用。

#include <C:\OpenCV2.2\modules\core\include\opencv2\core\core.hpp> 
#include <C:\OpenCV2.2\modules\highgui\include\opencv2\highgui\highgui.hpp> 
#include <iostream> 
#include <string.h> 
#include <C:\OpenCV2.2\include\opencv\cv.h> 
#include <stdlib.h> 
#include <C:\OpenCV2.2\modules\highgui\include\opencv2\highgui\highgui_c.h> 
#include <C:\Users\Administrator\Documents\blobs\blob.h> 
#include <C:\Users\Administrator\Documents\blobs\BlobResult.h> 

using namespace cv; 
using namespace std; 

int MAX_KERNEL_LENGTH = 30; 
int counter=0; 
int Blurtype=0; 
int Kern=5; 
int *Kernp=&Kern; 
int betaval=50; 
int *betavalp=&betaval; 
int Threshtype=0; 
int Threshval=30; 
int size=10; 

Mat src1, src2, dst1, dst2, dst3; 
CvScalar black=CV_RGB(0, 0, 0); // black color 
CvScalar white=CV_RGB(255, 255, 255); // white color 
double area; 

void BlobFunc(int,void*); 
int main(int argc, char** argv) 
{ 
    //Read Input 
    src1 = imread(argv[1]); 
    if(!src1.data) { printf("Error loading src1 \n"); return -1; } 
    //Create Windows 
    namedWindow("Original Image",1); 
    namedWindow("Binarized Image",1); 
    namedWindow("Gray Image",1); 
    namedWindow("Sharpened Image",1); 
    namedWindow("Blurred Image",1); 
    imshow("Original Image",src1); 
    namedWindow("Blobs",1); 
    //Create Trackbars 
    cvtColor(src1,src2,CV_RGB2GRAY); 
    imshow("Gray Image",src2); 
    threshold(src2, dst1, Threshval, 255,Threshtype); 
    imshow("Binarized Image",dst1); 
    createTrackbar("Kernel","Blurred Image",&Kern,MAX_KERNEL_LENGTH,BlobFunc); 
    createTrackbar("BlurType","Blurred Image",&Blurtype,3,BlobFunc); 
    createTrackbar("Betaval","Sharpened Image",&betaval,100,BlobFunc); 
    createTrackbar("Threshold value","Binarized Image",&Threshval,255,BlobFunc); 
    createTrackbar("Type","Binarized Image",&Threshtype,4,BlobFunc); 
    createTrackbar("Size","Blobs",&size,100,BlobFunc); //Size of Blob 
    waitKey(0); 
    return 0; 
} 

void BlobFunc(int,void*) 
{ 
    CvMemStorage *storage=cvCreateMemStorage(0); 
    CvSeq *contours=0; 
    cvtColor(src1,src2,CV_RGB2GRAY); 
    imshow("Gray Image",src2); 
    threshold(src2, dst1, Threshval, 255,Threshtype); 
    imshow("Binarized Image",dst1); 
    for (int i = 1; i < Kern; i = i + 2) 
    { 
     if (Blurtype==0) 
     { 
      blur(dst1,dst2, Size(i, i), Point(-1,-1)); 
     } 
    else if (Blurtype==1) 
     { 
      GaussianBlur(dst1, dst2, Size(i, i), 0, 0); 
     } 
    else if (Blurtype==2) 
     { 
      medianBlur (dst1, dst2, i); 
     } 
    else if (Blurtype==3) 
     { 
      bilateralFilter (dst1, dst2, i, i*2, i/2); 
     }  
    } 
    imshow("Blurred Image",dst2); 
    addWeighted(dst1, 1, dst2, -double(betaval)/100, 0.0, dst3); 
    imshow("Sharpened Image",dst3); 
    IplImage img=dst3; 
    cvFindContours(&img,storage,&contours,sizeof(CvContour),CV_RETR_LIST,CV_CHAIN_APPROX_SIMPLE);              
    IplImage *img_out=cvCreateImage(cvGetSize(&img), 8, 3); 
    cvZero(&img_out); 
    for(; contours != 0; contours = contours->h_next) 
    { 
    cvDrawContours(&img_out, contours, black, black, -1, CV_FILLED, 8); 
    } 

    Mat imgout=img_out; 
    cvReleaseMemStorage(&storage); 
    imshow("Blobs",imgout); 
} 

Answer 1

当我传递一个无效的Mat（或iplimage）时，我得到这种类型的错误。我可能复制它不正确，或图像可能是一种类型，渠道，颜色数量等。

该问题似乎与一个不正确的参数，所以我会看你是如何传递的图像，即。而不是& IMG，你可以尝试IMG没有&。害怕我不熟悉C++，但那是我开始的地方。

下面的例子是类似的，也许它会帮助显示使用&和*。

void displayContours(const Mat &src, Mat features) { 
    RNG rng(12345); 
    Mat canny_output; 
    vector<vector<Point> > contours; 
    vector<Vec4i> hierarchy; 
    Mat s; 
    src.copyTo(s); 
    findContours(s, 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(contours_poly[i], center[i], radius[i]); 
    } 

    /// Draw polygonal contour + bonding rects + circles 
    for (int i = 0; i < contours.size(); i++) { 
     Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), 
       rng.uniform(0, 255)); 
     drawContours(features, contours_poly, i, color, 1, 8, vector<Vec4i>(), 
       0, Point()); 
     rectangle(features, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 
       0); 
     circle(features, center[i], (int) radius[i], color, 2, 8, 0); 
    } 

} 

这是从OpenCV的教程的一个，并且使用垫代替的IplImage，这可能需要一个不同的使用情况。