OpenCV直方图匹配不正确的输出

Question

我使用了两个直方图 。 两个向量中的数据值不同。我使用了opencv直方图匹配函数 。 但是它返回不正确的值。 （我使用了CV_COMP_CORREL但我收到了1. （该值是一个完美的匹配。）我不知道自己在哪里弄错了。下面的代码供您参考，谢谢。

histo 1code：

Mat hitograme_one()
{
    vector<double>direction_vector_test;
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(10.2);
    cv::Mat dummy_query = cv::Mat(4, 4, CV_32F, &direction_vector_test.front());
    Mat b_hist;
    float range[] = { 0, 151 };
    const float* histRange = { range };
    /// Establish the number of bins
    int histSize = 16;   // *IMPORATANT
    bool uniform = true; bool accumulate = false;
    int hist_w = 512; int hist_h = 400;
    int bin_w = cvRound((double)hist_w / histSize);

    calcHist(&dummy_query, 1, 0, Mat(), b_hist, 1, &histSize, &histRange, uniform, accumulate);

    return b_hist;
}

histo 2代码：

Mat histo_two()
{
    vector<double>direction_vector_test;
    direction_vector_test.push_back(20.2);
    direction_vector_test.push_back(20.2);
    direction_vector_test.push_back(20.2);
    direction_vector_test.push_back(10.2);
    direction_vector_test.push_back(40.2);
    direction_vector_test.push_back(40.2);
    direction_vector_test.push_back(40.2);
    direction_vector_test.push_back(77.2);
    direction_vector_test.push_back(88.2);
    direction_vector_test.push_back(99.2);
    direction_vector_test.push_back(100.2);
    direction_vector_test.push_back(100.2);
    direction_vector_test.push_back(100.2);
    direction_vector_test.push_back(100.2);
    direction_vector_test.push_back(100.2);
    direction_vector_test.push_back(100.2);
    cv::Mat dummy_query = cv::Mat(4, 4, CV_32F, &direction_vector_test.front());
    Mat b_hist;
    float range[] = { 0, 151 };
    const float* histRange = { range };
    /// Establish the number of bins
    int histSize = 16;   // *IMPORATANT
    bool uniform = true; bool accumulate = false;
    int hist_w = 512; int hist_h = 400;
    int bin_w = cvRound((double)hist_w / histSize);

    calcHist(&dummy_query, 1, 0, Mat(), b_hist, 1, &histSize, &histRange, uniform, accumulate);
    return b_hist;

}

主要功能代码：（（返回不正确的1））

int main(int, char** argv)
{
        double compare = compareHist(hitograme_one(), histo_two(), CV_COMP_CORREL);
        cout << compare; // returns 1 which is incorrect since input vectors //have different values
        system("pause");
    return 0;
}

Answer 1

您的问题是CV_32F

cv::Mat dummy_query = cv::Mat(4, 4, CV_32F, &direction_vector_test.front());

需要更改CV_8UC1

cv::Mat dummy_query = cv::Mat(4, 4, CV_8UC1, &direction_vector_test.front());

CV_8U是无符号的8位/像素-即像素可以具有0-255的值，CV_32F是平坦的-像素可以具有0-1.0之间的任何值，因此您的直方图范围填充为0-1.0的范围。 然后，两个直方图图像将是相同的。 因此，它返回匹配的参数。