'filtering unwanted contours - opencv with C++
I'm processing a video which I want to detect some objects.
first, I remove background, then make it gray and make a binary image using cv::threshold and after that cv::findcontours.
I want to remove too long and too short contours. I found a code for this reason in "Opencv 2 cookbook". But it has a run time error on 21st frame of my video.
// Eliminate too short or too long contours
size_t cmin{ 15 }; // minimum contour length
size_t cmax{ 120 }; // maximum contour length
std::vector<std::vector<cv::Point> >::
const_iterator itc = contours.begin();
while (itc != contours.end()) {
if (itc->size() < cmin || itc->size() > cmax)
itc = contours.erase(itc);
else
++itc;
}
I searched and found another code and it has the same error on the same frame:
double min_area = 500; // area threshold
double max_area = 1500; // area threshold
for (int i = 0; i < contours.size(); i++) // iterate through each contour.
{
double area = contourArea(contours[i], false); // Find the area of contour
if (area < min_area || area > max_area)
contours.erase(contours.begin() + i);
}
and I wrote a code to create a new vector and just copy the accepted contours in it. but it also has the same error on the same frame:
std::vector<std::vector<cv::Point> > goodcontours;
size_t cmin{ 15 };
size_t cmax{ 120 };
double contourlength = 1;
size_t contoursize = contours.size();
for (int i = 0; i != contoursize;i++) {
contourlength = cv::arcLength(contours[i], true);
if (contourlength > cmin && contourlength < cmax)
goodcontours.push_back(contours.at(i));
}
I tried other videos and all of them has the same problem on a specific frame.
Before the error, I can still see the unwanted contours and it means they don't really eliminated.
the error just say:
Unhandled exception at 0x75017FB2 (ucrtbase.dll)
Do you have any suggestion for filtering the contours?
Solution 1:[1]
here is my Find_Filter_Draw Contours function , sharing it might be helpful to someone
bool Find_Filter_Draw_Contours(){
// Find Contours on our working image which is ... currentImage.
cv::Mat hierarchy = cv::Mat();
std::vector<std::vector<cv::Point> > contours;
cv::Mat contourOutput = currentImage.clone();
cv::findContours(contourOutput, contours, hierarchy, cv::RETR_CCOMP, cv::CHAIN_APPROX_NONE);
hierarchy.release();
// filter them based on Area. good to remove small dots
double minArea = 50;
double maxArea = 900000;
std::vector<std::vector<cv::Point> > GoodContours;
for (size_t idx = 0; idx < contours.size(); idx++) {
double area = cv::contourArea(contours[idx]);
// http://www.cplusplus.com/reference/limits/numeric_limits/
if (area >= (minArea == -1 ? std::numeric_limits<double>::min() : minArea) && area <= (maxArea == -1 ? std::numeric_limits<double>::max() : maxArea)) {
GoodContours.push_back(contours.at(idx));
}
}
//Draw the contours
cv::Mat contourImage(currentImage.size(), CV_8UC3, cv::Scalar(0,0,0));
cv::Scalar colors[3];
colors[0] = cv::Scalar(255, 0, 0);
colors[1] = cv::Scalar(0, 255, 0);
colors[2] = cv::Scalar(0, 0, 255);
for (size_t idx = 0; idx < GoodContours.size(); idx++) {
cv::drawContours(contourImage, GoodContours, idx, colors[idx % 3]);
}
cv::imshow("Input Image", currentImage);
cv::imshow("Contours", contourImage);
}
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | user889030 |
