使用Opencv刪除小斑點

Question

我在visual studio 2010上使用opencv2.2。我寫了一個代碼來預處理OCR圖像。我正在使用很多軌道條來改變參數。其中一個預處理功能是通過繪製輪廓並根據大小對其進行過濾來去除小斑點。然而，當我運行程序時，cvDrawContours函數給我一個錯誤。基本上，我彈出了一個錯誤消息，說R6010-abort已被調用。命令行說641行的matrix.cpp中有一個未知的數組類型。我在這裏包括我的代碼。該問題由BlobFunc函數中的cvDrawContours函數調用。

#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

當我傳遞一個無效的Mat（或iplimage）時，我得到這種類型的錯誤。我可能複製它不正確，或圖像可能是一種類型，渠道，顏色數量等。

該問題似乎與一個不正確的參數，所以我會看你是如何傳遞的圖像，即。而不是& IMG，你可以嘗試IMG沒有&。害怕我不熟悉C++，但那是我開始的地方。

下面的例子是類似的，也許它會幫助顯示使用&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); 
    } 

} 

這是從OpenCV的教程的一個，並且使用墊代替的IplImage，這可能需要一個不同的使用情況。