基于OPENCV的图像二值化代码:
#inclass="superseo">clude
#include
#include"opencv2/imgproc/imgproc.hpp"
#include
using namespace cv;
Mat SrcImage;
Mat GrayImage;
Mat BinaryImage;
void on_trackbar(int pos,void*)
{
//转化为二值图
threshold(GrayImage, BinaryImage, pos, 255, CV_THRESH_BINARY);
namedWindow("二值图");
imshow("二值图", BinaryImage);
}
void to_GrayImage()
{
//创建与原图同类型和同大小的矩阵
GrayImage.create(SrcImage.size(), SrcImage.type());
//将原图转换为灰度图像
cvtColor(SrcImage, GrayImage, CV_BGR2GRAY);
namedWindow("灰度图");
imshow("灰度图", GrayImage);
}
void creat_trackbar()
{
int nThreshold = 0;
createTrackbar("二值图阈值", "二值图", &nThreshold, 254, on_trackbar);
}
int main()
{
SrcImage = imread("/home/caozilong/Workspace/python/beauty.jpg");
namedWindow("原图");
imshow("原图", SrcImage);
to_GrayImage();
on_trackbar(100, 0);
creat_trackbar();
waitKey();
}
编译
g++ erzhihua.cpp `pkg-config --cflags --libs opencv`
运行结果:
减小阈值
CV_THRESH_BINARY_INV模式:
结束
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