OpenCV4圖像分析之BLOB特征分析

-根據BLOB面積過濾-根據灰度/顏色值過濾-根據圓度過濾-根據長軸與短軸過濾-根據凹凸進行過濾

對應的參數列表如下：

SimpleBlobDetector::Params::Params()bool        filterByAreabool        filterByCircularitybool        filterByColorbool        filterByConvexitybool        filterByInertiafloat        maxAreafloat        maxCircularityfloat        maxConvexityfloat        maxInertiaRatiofloat        maxThresholdfloat        minAreafloat        minCircularityfloat        minConvexityfloat        minDistBetweenBlobsfloat        minInertiaRatio

#include?"opencv2/opencv.hpp"
#include?

using?namespace?cv;
using?namespace?std;

int?main(int?argc,?char**?argv)
{
????//?加載圖像
????Mat?src?=?imread("D:/lena.jpg");
????Mat?gray;
????cvtColor(src,?gray,?COLOR_BGR2GRAY);
????cv::imshow("輸入圖像",?src);

????//?初始化參數設置
????SimpleBlobDetector::Params?params;
????params.minThreshold?=?10;
????params.maxThreshold?=?240;
????params.filterByArea?=?true;
????params.minArea?=?50;
????params.filterByCircularity?=?true;
????params.minCircularity?=?0.1;
????params.filterByConvexity?=?true;
????params.minConvexity?=?0.5;
????params.filterByInertia?=?true;
????params.minInertiaRatio?=?0.5;

????//?創建BLOB?Detetor
????Ptr?detector?=?SimpleBlobDetector::create(params);

????//?BLOB分析與顯示
????Mat?result;
????vector?keypoints;
????detector->detect(gray,?keypoints);
????for?(auto?kpt?:?keypoints)?{
????????std::cout?<"key?point?radius:?"?<std::endl;
????????cv::circle(src,?kpt.pt,?2,?cv::Scalar(0,?255,?0),?2,?8,?0);
????????cv::circle(src,?kpt.pt,?kpt.size/2,?cv::Scalar(255,?0,?255),?3,?8,?0);
????}
????imshow("Blob檢測-OpenCV學堂",?src);
????waitKey(0);
}

thresholdStep = 10;minThreshold = 50;maxThreshold = 220;minRepeatability = 2;minDistBetweenBlobs = 10;
filterByColor = true;blobColor?=?0;
filterByArea = true;minArea = 25;maxArea?=?5000;
filterByCircularity = false;minCircularity = 0.8f;maxCircularity?=?std::numeric_limits::max();
filterByInertia = true;//minInertiaRatio = 0.6;minInertiaRatio = 0.1f;maxInertiaRatio?=?std::numeric_limits::max();
filterByConvexity = true;//minConvexity = 0.8;minConvexity = 0.95f;maxConvexity = std::numeric_limits::max();
collectContours = false;

static?void?validateParameters(const?SimpleBlobDetector::Params&?p)
{
??if?(p.thresholdStep?<=?0)
??????CV_Error(Error::StsBadArg,?"thresholdStep>0");

??if?(p.minThreshold?>?p.maxThreshold?||?p.minThreshold?0)
??????CV_Error(Error::StsBadArg,?"0<=minThreshold<=maxThreshold");

??if?(p.minDistBetweenBlobs?<=0?)
??????CV_Error(Error::StsBadArg,?"minDistBetweenBlobs>0");

??if?(p.minArea?>?p.maxArea?||?p.minArea?<=0)
??????CV_Error(Error::StsBadArg,?"0);

??if?(p.minCircularity?>?p.maxCircularity?||?p.minCircularity?<=?0)
??????CV_Error(Error::StsBadArg,?"0);

??if?(p.minInertiaRatio?>?p.maxInertiaRatio?||?p.minInertiaRatio?<=?0)
??????CV_Error(Error::StsBadArg,?"0);

??if?(p.minConvexity?>?p.maxConvexity?||?p.minConvexity?<=?0)
??????CV_Error(Error::StsBadArg,?"0);
}

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