I want use findContours with the binary image, but the callback function causes an error:
Invalid address specified to RtlFreeHeap
when returning.
When i want to use clear() to free the vector<vector<Point> > value, it causes the same exception and the code crashed in free.c at the line:
if (retval == 0) errno = _get_errno_from_oserr(GetLastError());
For example:
void onChangeContourMode(int, void *)
{
Mat m_frB = imread("3.jpg", 0);
vector<vector<Point>> contours
vector<Vec4i> hierarchy;
findContours(m_frB, contours, hierarchy, g_contour_mode, CV_CHAIN_APPROX_SIMPLE);
for( int idx = 0 ; idx >= 0; idx = hierarchy[idx][0] )
drawContours( m_frB, contours, idx, Scalar(255,255,255),
CV_FILLED, 8, hierarchy );
imshow( "Contours", m_frB );
}
Can anyone help me? Thank you very much!
Mat m_frB = imread("3.jpg", CV_LOAD_IMAGE_GRAYSCALE);
loads 3.jpg as a 8bpp grayscale image, so it's not binary image. It is specific for findContours function that "non-zero pixels are treated as 1’s. Zero pixels remain 0’s, so the image is treated as binary". Also note that this "function modifies the image while extracting the contours".
The actual problem here is that although the destination image is 8bpp, you should make sure that it has 3 channels by using CV_8UC3 before you draw RGB contours into it. Try this:
// find contours:
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
findContours(m_frB, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE);
// draw contours:
Mat imgWithContours = Mat::zeros(m_frB.rows, m_frB.cols, CV_8UC3);
RNG rng(12345);
for (int i = 0; i < contours.size(); i++)
{
Scalar color = Scalar(rng.uniform(50, 255), rng.uniform(50,255), rng.uniform(50,255));
drawContours(imgWithContours, contours, i, color, 1, 8, hierarchy, 0);
}
imshow("Contours", imgWithContours);
Related
I am creating a stitching program and it works well. My next task is to crop the image so the image doesn't get too large and only contains the stitched areas. I am able to crop the image using the threshold() and findContours() functions. I then parse through the contours to determine where to crop. Another issue I wish to tackle in this function is to set the background to be transparent or alpha(255). My logic is take the base image to crop and do this step in conjunction with finding the area to crop. My code follows with portions that were taken from these two resources:
http://answers.opencv.org/question/37441/how-to-set-transparent-background-to-grabcut-output-image-in-opencv-c/
http://answers.opencv.org/question/24463/how-to-remove-black-background-from-grabcut-output-image-in-opencv-android/#24508
Mat crop(Mat image){
Mat cropped, grayed, thresh, transparent, result;
vector<vector<Point>> contours;
vector<Vec4i> hierarchy;
int largest_contour_index=0;
int largest_area=0;
Mat alpha(image.size(),CV_8UC1,Scalar(0));
cvtColor(image, grayed, CV_BGR2GRAY);
threshold( grayed, thresh, 1, 255,THRESH_BINARY);
findContours( thresh, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);
vector<int> x,y;
for(int i=0; i < contours.size(); i++){
for(int j = 0; j < contours.at(i).size();j++){
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
}
x.push_back(contours[i][j].x);
y.push_back(contours[i][j].y);
}
}
drawContours( alpha,contours, largest_contour_index, Scalar(255),CV_FILLED, 8, hierarchy );
Mat rgb[3];
split(image,rgb);
Mat rgba[4]={rgb[0],rgb[1],rgb[2],alpha};
merge(rgba,4,transparent);
imshow("Transparent",transparent);
waitKey();
destroyAllWindows();
auto xVals = std::minmax_element(x.begin(), x.end());
auto yVals = std::minmax_element(y.begin(), y.end());
Rect rect (*xVals.first,*yVals.first,(*xVals.second)-(*xVals.first),(*yVals.second)-(*yVals.first));
cropped = image(rect);
return cropped;
}
The following image is the result of this code. As you can see the crop work but the image background is not transparent
Any help is appreciated!
I am using OpenCV C++ to find the contours in a video. I want to count the no of contours present in video in a a specified region or in between two lines drawn in a video. For example a stream of contours are moving in a video and I want to count them when they reach to a specific region in a video. I will decrease the count as they leave the specific region in the video. I know some basic stuffs to find contour, calculate the area etc. But I am not getting any programming tips to count the no of contours within specified region. Please help me with the related topics and some tips on programming. (I do not want to use cvBlob.h library)
Basically I am counting the number of cars entered in that region. If car is entered I will increment the count and if it leaves the region then I will decrease the count.
You can approximate the contour you found to a polygon or circle:
for( int i = 0; i < contours.size(); i++ )
{ approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true );
boundRect[i] = boundingRect( Mat(contours_poly[i]) )
}
after that use the line equation y=a and compare the coordinates of the corners of rectangle or the center+radius of the circle to determine if the contour passed the line.
1.Use a part of your Mat image.(If your ROI is rectangle)
Mat src; // suppose this is your source frame
Mat src_of_interest = src(Rect(Point(x1, y1), Point(x2, y2)));
// Do the rest of finding contour..
vector<vector<Point>> contours;
vector<Vec4i> hierarchy;
findContours(src_of_interest.clone(), contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE);
//now you can do your job with contour vector.
int count = contours.size();
Mat dst = Mat::zeros(src.size(), CV_8UC3);
for(int i=0; i< count; i++)
{
drawContours(dst, contours, i, CV_RGB(255, 0, 0)); // draw contour in red
}
2. If your Region of Interest is not rectangle, try this approach:
vector<Point> contour_of_interest; // this contour is where you want to check
vector<vector<Point>> contours; // this is the contours you found
Mat dst = Mat::zeros(src.size(), CV_8U);
for(int i=0; i< count; i++)
{
drawContours(dst, contours, i, Scalar(255)); // set contour area to 255
}
Mat roi = Mat::zeros(src.size(), CV_8U);
vector<vector<Point>> coi_vector;
coi_vector.push_back(contour_of_interest);
drawContours(roi, coi_vector, 0, Scalar(255));
Mat and = dst & roi; // where 2 mats are both TRUE(not zero)
findContours(and.clone(), contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE);
//now you can do your job with contour vector.
int count = contours.size();
3. If you want to count contours between 4 points, try this approach:
vector<Point> contour_of_interest; // this contour is the area where you want to check
Point p1(x1, y1);
Point p2(x1, y2);
Point p3(x2, y2);
Point p4(x2, y1);
contour_of_interest.push_back(p1);
contour_of_interest.push_back(p2);
contour_of_interest.push_back(p3);
contour_of_interest.push_back(p4);
vector<vector<Point>> coi_list;
coi_list.push_back(contour_of_interest);
Mat mask = Mat:zeros(src.size(), CV_8U);
drawContours(mask, coi_list, 0, Scalar(255));
Mat src; // suppose this is your source frame
Mat src_of_interest = src & mask; // remove any pixels outside mask area
// Do the rest of finding contour..
vector<vector<Point>> contours;
vector<Vec4i> hierarchy;
findContours(src_of_interest.clone(), contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE);
//now you can do your job with contour vector.
int count = contours.size();
Mat dst = Mat::zeros(src.size(), CV_8UC3);
for(int i=0; i< count; i++)
{
drawContours(dst, contours, i, CV_RGB(255, 0, 0)); // draw contour in red
}
I am new to image processing, and I'm working on a real time tracking
But I am stuck with the findCountours function.
cvtColor(*pImg, *pImg, CV_RGBA2GRAY); //convert to gray image
Mask = pImg->clone(); //clone the source
Mask.convertTo(Mask,CV_8UC1); //convert to 8UC1
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
findContours( Mask, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
contours.clear();
hierarchy.clear();
and when I run the program it crashes, If I comment the findCountours function it will be fine.
I have checked some documents but there is no clue what happened.
Mask = pImg->clone(); //clone the source
Mask.convertTo(Mask,CV_8UC1); //convert to 8UC1
replace
pImg.convertTo(Mask, CV_8U, arg);
arg may be different for different types of the input image. 255 for float/double.
Try using "Canny edge detector or Threshold operator" before finding contours.
Choose your operator based on the task you need to perform.
`cvtColor(*pImg, *pImg, CV_RGBA2GRAY); //convert to gray image
Mask = pImg->clone(); //clone the source
Mask.convertTo(Mask,CV_8UC1); //convert to 8UC1
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
/*based on your need use any of these operator */
threshold( input, output, threshold_value, max_BINARY_value,threshold_type );
Canny( input, canny_output, thresh, thresh*2, 3 );
findContours( output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
contours.clear();
hierarchy.clear();`
I want to find points of a contour which is draw on object after following operation like background subtraction , findcontour ,drawcontour.
My object is moving so that my contour is also not proper . and i want to find of maximum and minimum points on contour which is draw on object.
Can anyone tell me how to find?
My object is moving car and camera view is top.
vector<vector<Point>> allContours;
vector<Vec4i> hierarchy;
Mat _temp = image.clone();
findContours(_temp, allContours, RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);
allContours is contour's vector.
you can access points of each contours.
============================================================================
all points of contous will be draw by below code.
vector<vector<Point>> allContours;
vector<Vec4i> hierarchy;
Mat _temp = imageGray.clone();
Mat ptDraw = Mat::zeros(image.rows,image.cols,CV_8UC3);
findContours(_temp, allContours, RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);
for(int i=0;i<allContours.size();i++)
{
drawContours(image, allContours, i, Scalar(0,0,255), 2, 8, hierarchy, 0, Point() );
for(int j=0;j<allContours.at(i).size();j++)
{
Point pt = allContours.at(i).at(j);
circle(ptDraw,pt,1,Scalar(0,0,255),CV_FILLED);
}
}
My goal is to find contours by capturing frame from a webcam. I was able to do it with static images but then I tried to use the same concept in a webcam frame and its giving me this error:
"OpenCV Error: Assertion failed (mtype == type0 || (CV_MAT_CN(mtype) == CV_MAT_CN
(type0) && ((1 << type0) & fixedDepthMask) != 0)) in cv::_OutputArray::create, f
ile C:\builds\2_4_PackSlave-win64-vc11-shared\opencv\modules\core\src\matrix.cpp
, line 1486"
This is the code that I used to find the contours in my program;
Rng rng(12345);
Mat captureframe,con,threshold_output;
vector<vector<Point> > contours; //
vector<Vec4i> hierarchy;
while(true)
{
capturedevice>>captureframe;
con = captureframe.clone();
cvtColor(captureframe,con,CV_BGR2GRAY);
threshold( con, threshold_output, thresh, 255, THRESH_BINARY );
findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
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, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
}
imshow("contour drawing",drawing);
}
I think that the problem is in the following two lines:
con = captureframe.clone();
cvtColor(captureframe,con,CV_BGR2GRAY);
In the first line, you are making con as a clone of captureFrame which means that con is a 3 channel image and in the Second line you are trying to make con a grayScale image which is 1 channel therefore you are getting the fault related to the image type.
You should try to do the following (i am not sure whether your code would run after this or not but you should not get the current error after this):
con.create(captureframe.rows , captureframe.cols, CV_8UC1);
cvtColor(captureframe,con,CV_BGR2GRAY);
Guys thank you so much for your help. I finally figured out my mistake and there was a problem in my declaration. I was looking online for some references and then i stumbled upon this code for object detection. The guy actually declared "contour" like this - "std::vector < std::vector < cv::Point > >contours; " and my declaration was "vector contours". My declaration worked for static images but it gave me this error while finding contours from webcam. Can anyone explain me the difference between the above two declarations? Also, as suggested by skm i converted my frame capture to a 1 channel depth image by using the con.create(frame.rows,frame.cols,cv_8uc1) and then converting it to grayscale image. This step is really crucial. So, here is my complete working code!! Thanks
VideoCapture capturedevice;
capturedevice.open(0);
Mat frame,con;
Mat grayframe;
std::vector < std::vector < cv::Point > >contours; //this is very important decalartion
while(true)
{
capturedevice>>frame;
con.create(frame.rows,frame.cols,CV_8UC1);
cvtColor(frame,con,CV_BGR2GRAY);
cv::findContours (con, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
cv::drawContours (frame, contours, -1, cv::Scalar (0, 0, 255), 2);
imshow("frame", frame);
waitKey(33);
}