mirror of http://192.168.1.51:8099/lmh188/twain3.0
68 lines
1.6 KiB
C++
68 lines
1.6 KiB
C++
#include "ImageApplyDogEarDetection.h"
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#include "ImageProcess_Public.h"
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CImageApplyDogEarDetection::CImageApplyDogEarDetection()
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: m_threshold(40)
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, m_zoom(1.0)
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, m_distance(50)
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, m_result(false)
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{
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}
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CImageApplyDogEarDetection::CImageApplyDogEarDetection(double threshlod, double zoom, double distance)
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: m_threshold(threshlod)
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, m_zoom(zoom)
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, m_distance(distance)
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, m_result(false)
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{
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}
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CImageApplyDogEarDetection::~CImageApplyDogEarDetection()
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{
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}
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void CImageApplyDogEarDetection::apply(cv::Mat &pDib, int side)
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{
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m_result = false;
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(void)side;
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if (pDib.empty()) return;
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cv::Mat src;
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if (m_zoom != 1.0)
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cv::resize(pDib, src, cv::Size(), m_zoom, m_zoom, cv::INTER_NEAREST);
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else
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src = pDib;
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cv::Mat thre;
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hg::threshold_Mat(src, thre, m_threshold);
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std::vector<cv::Vec4i> hierarchy;
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std::vector<std::vector<cv::Point>> contours;
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hg::findContours(thre, contours, hierarchy, cv::RETR_EXTERNAL);
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std::vector<cv::Point> maxContour = hg::getMaxContour(contours, hierarchy);
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if (maxContour.size() == 0)
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{
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m_result = true;
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return;
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}
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hg::convexHull(maxContour, maxContour);
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cv::RotatedRect rect = hg::getBoundingRect(maxContour);
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cv::Point2f vertexes[4];
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rect.points(vertexes);
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for (int i = 0; i < 4; i++)
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if ((-cv::pointPolygonTest(maxContour, vertexes[i], true)) > (m_distance * m_zoom))
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{
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m_result = true;
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return;
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}
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}
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void CImageApplyDogEarDetection::apply(std::vector<cv::Mat> &mats, bool isTwoSide)
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{
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(void)mats;
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(void)isTwoSide;
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}
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