我正在关注以下网站上的教程:
http://harismoonamkunnu.blogspot.co.uk/2013/06/opencv-find-biggest-contour-using-c.html
如果我遵循代码,它就能完美运行。但是,我所做的是输入一个灰度图像(由photoshop进行灰度化并保存为jpg),我尝试跳过这一步:
cvtColor(src,thr,CV_BGR2GRAY); //Convert to gray
当我再次在Visual Studio中运行相同的代码时,我收到运行时错误,显示:
image_capture.exe中0x00007FFE56A79E08处的未处理异常: Microsoft C ++异常:cv ::内存位置的异常 0x000000C1D58FE1F0。发生
在countours.cpp文件中:
scanner = cvStartFindContours( img, storage, cntHeaderSize, mode, method, offset );
我想尽量避免使用cvtColor,因为在我的应用程序中,我的输入图像是一张灰度图片。我的代码如下:
#include "stdafx.h"
#include <iostream>
#include "opencv2\highgui\highgui.hpp"
#include "opencv\cv.h"
#include "opencv2\imgproc\imgproc.hpp"
using namespace cv;
using namespace std;
int main()
{
int largest_area=0;
int largest_contour_index=0;
Rect bounding_rect;
Mat src = imread("src.jpg"); //Load source image
Mat thr(src.rows,src.cols,CV_8UC1);
Mat dst(src.rows,src.cols,CV_8UC1,Scalar::all(0));
//cvtColor(src,thr,CV_BGR2GRAY); //Convert to gray
threshold(src, src,25, 255,THRESH_BINARY); //Threshold the gray
vector<vector<Point>> contours; // Vector for storing contour
vector<Vec4i> hierarchy;
findContours( src, contours, hierarchy,CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE ); // Find the contours in the image
for( int i = 0; i< contours.size(); i++ ) // iterate through each contour.
{
double a=contourArea( contours[i],false); // Find the area of contour
if(a>largest_area){
largest_area=a;
largest_contour_index=i; //Store the index of largest contour
bounding_rect=boundingRect(contours[i]); // Find the bounding rectangle for biggest contour
}
}
Scalar color( 255,255,255);
drawContours( dst, contours,largest_contour_index, color, CV_FILLED, 8, hierarchy ); // Draw the largest contour using previously stored index.
rectangle(src, bounding_rect, Scalar(0,255,0),1, 8,0);
imshow( "src", src );
imshow( "largest Contour", dst );
waitKey(0);
}
任何想法如何避免cvtColor()?
谢谢
答案 0 :(得分:0)
根据opencv documentation,输入到plugins: [
new webpack.NormalModuleReplacementPlugin(/tran\.json$/,
path.resolve(__dirname, srcRoot, 'empty_tran.json'))
]
功能的图片必须是8位单一频道,因此您必须按findContour
,threshold
将输入图片更改为该类型如果您的图像是灰色图像,只需将其加载到cvtColor
模式。
CV_LOAD_IMAGE_GRAYSCALE