Question

我正致力于一个开放式社区项目,并正使用VMatchTemplate器,以找到我当时使用的图像中的一部分,因此,我的问题是,只有一个最大地点才能返回,因为一个图像可能有多个对应点。

Is there any way to return all the max locations above a particular threshold

页: 1

for each location > threshold add location to array

我对开放世界论坛说新话,并想知道,这种事情是否已经存在,但迄今为止,我没有能够找到任何东西。

任何帮助

Answer 1

我修改了<代码>matchTemplate tutorial,以便你开始学习。它基本上使用<代码>queue,以跟踪X顶端的对口点,随后将其全部划归。希望会有助益!

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <iostream>
#include <vector>
#include <limits>
#include <queue>

using namespace cv;
using namespace std;

void maxLocs(const Mat& src, queue<Point>& dst, size_t size)
{
    float maxValue = -1.0f * numeric_limits<float>::max();
    float* srcData = reinterpret_cast<float*>(src.data);

    for(int i = 0; i < src.rows; i++)
    {
        for(int j = 0; j < src.cols; j++)
        {
            if(srcData[i*src.cols + j] > maxValue)
            {
                maxValue = srcData[i*src.cols + j];

                dst.push(Point(j, i));

                // pop the smaller one off the end if we reach the size threshold.
                if(dst.size() > size)
                {
                    dst.pop();
                }
            }
        }
    }
}

/// Global Variables
Mat img; Mat templ; Mat result;
string image_window = "Source Image";
string result_window = "Result window";

int match_method;
int max_Trackbar = 5;

/// Function Headers
void MatchingMethod( int, void* );

int main(int argc, char* argv[])
{
    /// Load image and template
    img = imread( "dogs.jpg", 1 );
    templ = imread( "dog_templ.jpg", 1 );

    /// Create windows
    namedWindow( image_window, CV_WINDOW_AUTOSIZE );
    namedWindow( result_window, CV_WINDOW_AUTOSIZE );

    /// Create Trackbar
    string trackbar_label = "Method: 
 0: SQDIFF 
 1: SQDIFF NORMED 
 2: TM CCORR 
 3: TM CCORR NORMED 
 4: TM COEFF 
 5: TM COEFF NORMED";
    createTrackbar( trackbar_label, image_window, &match_method, max_Trackbar, MatchingMethod );

    MatchingMethod( 0, 0 );

    waitKey(0);

    return 0;
}

/**
 * @function MatchingMethod
 * @brief Trackbar callback
 */
void MatchingMethod( int, void* )
{
    /// Source image to display
    Mat img_display;
    img.copyTo( img_display );

    /// Create the result matrix
    int result_cols =  img.cols - templ.cols + 1;
    int result_rows = img.rows - templ.rows + 1;

    result.create( result_cols, result_rows, CV_32FC1 );

    /// Do the Matching and Normalize
    matchTemplate( img, templ, result, match_method );
    normalize( result, result, 0, 1, NORM_MINMAX, -1, Mat() );

    /// For SQDIFF and SQDIFF_NORMED, the best matches are lower values. For all the other methods, the higher the better
    if( match_method  == CV_TM_SQDIFF || match_method == CV_TM_SQDIFF_NORMED )
    {
        result = 1.0 - result;
    }

    // get the top 100 maximums...
    queue<Point> locations;
    maxLocs(result, locations, 100);

    /// Show me what you got
    while(!locations.empty())
    {
        Point matchLoc = locations.front();
        rectangle( img_display, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 );
        rectangle( result, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 );
        locations.pop();
    }

    imshow( image_window, img_display );
    imshow( result_window, result );

    return;
}

Answer 2

Try cvThreshold (src, dst, Gate, CV_THRESH_BINaire)

这将把所有比门槛值高的颜料作为白色的图像和所有其他东西作为黑体的图像回去。如果超过0岁,你就会通过所有食堂进行洗刷和检查,如果这是你想要的一个地点。类似情况

   char* data = dst->imageData;
   int size = (dst->height) * (dst->width)

   for (int i=0; i<size; i++)
   {
       if(data[i] > 0)
          //copy i into your array
   }

友情链接