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ShapeDiscriptor.cpp
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ShapeDiscriptor.cpp
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#include "ShapeDiscriptor.hpp"
bool ShapeDiscriptor::discribeImage(cv::Mat &image)
{
std::vector< std::vector<cv::Point> > contours;
cv::Mat timage = image.clone();
printf("rows : %d\n", image.rows);
findContours(timage, contours, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE);
for(int contourIdx = 0; contourIdx < contours.size(); contourIdx++)
{
cv::Moments moms = moments(cv::Mat(contours[contourIdx]));
if(doFilterArea)
{
double area = moms.m00;
if (area < minArea || area > maxArea)
//drawContours(image, contours, contourIdx, cv::Scalar(0,0,0), CV_FILLED);
continue;
}
if(doFilterCircularity)
{
double area = moms.m00;
double perimeter = cv::arcLength(cv::Mat(contours[contourIdx]), true);
double ratio = 4 * CV_PI * area / (perimeter * perimeter);
if (ratio < minCircularity)
//drawContours(image, contours, contourIdx, cv::Scalar(0,0,0), CV_FILLED);
continue;
}
if(doFilterInertia)
{
double denominator = sqrt(pow(2 * moms.mu11, 2) + pow(moms.mu20 - moms.mu02, 2));
const double eps = 1e-2;
double ratio;
if (denominator > eps)
{
double cosmin = (moms.mu20 - moms.mu02) / denominator;
double sinmin = 2 * moms.mu11 / denominator;
double cosmax = -cosmin;
double sinmax = -sinmin;
double imin = 0.5 * (moms.mu20 + moms.mu02) - 0.5 * (moms.mu20 - moms.mu02) * cosmin - moms.mu11 * sinmin;
double imax = 0.5 * (moms.mu20 + moms.mu02) - 0.5 * (moms.mu20 - moms.mu02) * cosmax - moms.mu11 * sinmax;
ratio = imin / imax;
}
else
{
ratio = 1;
}
//p.inErtia = ratio;
if (ratio < minInertia)
//drawContours(image, contours, contourIdx, cv::Scalar(0,0,0), CV_FILLED);
continue;
}
if(doFilterConvexity)
{
cv::vector < cv::Point > hull;
convexHull(cv::Mat(contours[contourIdx]), hull);
double area = cv::contourArea(cv::Mat(contours[contourIdx]));
double hullArea = cv::contourArea(cv::Mat(hull));
double ratio = area / hullArea;
//p.convexity = ratio;
if (ratio < minConvexity)
//drawContours(image, contours, contourIdx, cv::Scalar(0,0,0), CV_FILLED);
continue;
}
timage.release();
return true;
}
timage.release();
return false;
}
void ShapeDiscriptor::discribeImages(std::vector<cv::Mat> &images)
{
for(std::vector<cv::Mat>::iterator iter = images.begin(); iter != images.end();)
{
if(!discribeImage(*iter)){
images.erase(iter);
}else
{
iter++;
}
}
}
void ShapeDiscriptor::setInertiaFilter(float minInertia, float maxInertia)
{
assert(minInertia >= 0.0f && maxInertia <= 1.0f);
doFilterInertia = true;
this->minInertia = minInertia;
this->maxInertia = maxInertia;
}
void ShapeDiscriptor::setCircularityFilter(float minCicularity, float maxCircularity)
{
assert(minCircularity >= 0.0f || maxCircularity <= 1.0f);
doFilterCircularity = true;
this->minCircularity = minCircularity;
this->maxCircularity = maxCircularity;
}
void ShapeDiscriptor::setConvexityFilter(float minConvexity, float maxConvexity)
{
assert(minConvexity >= 0.0f || maxConvexity < 1.0f);
doFilterConvexity = true;
this->minConvexity = minConvexity;
this->maxConvexity = maxConvexity;
}
/*
void ShapeDiscriptor::setAvgColorFilter(Point3f minAvgColor, Point3f maxAvgColor)
{
doFilterByColor = true;
this->minAvgColor = minAvgColor;
this->maxAvgColor = maxAvgColor;
}
*/
void ShapeDiscriptor::setAreaFilter(int minArea, int maxArea)
{
doFilterArea = true;
this->minArea = minArea;
this->maxArea = maxArea;
}