opencv3中Canny算子下的轮廓检测与绘制

该博客介绍了如何利用OpenCV3的Canny算子进行边缘检测,并通过轮廓检测与绘制功能展示图像处理效果。通过创建滚动条窗口调整参数,实现了对图像的实时处理和显示。

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#include<opencv2/opencv.hpp>
#include<iostream>
#include<vector>

using namespace cv;
using namespace std;

int g_nThred = 100;
int g_nWay = 0;
int g_nThick = 3;
int g_nGrayOrBgr = 0;
int g_nColor = 0;
int g_nBlue = 255, g_nGreen = 255, g_nRed = 0;
int g_nBilateralFilterValue = 0;
int g_nCurrValue = 166, g_nP = 0;

int main()
{
	Mat srcImage = imread("group.jpg");
	imshow("【原图】", srcImage);

	Mat grayImage;
	cvtColor(srcImage, grayImage, CV_BGR2GRAY);

	Mat midImage;
	grayImage.copyTo(midImage);
	//对灰度图和3通道图进行双边滤波
	bilateralFilter(midImage, grayImage, g_nBilateralFilterValue, (g_nBilateralFilterValue) * 2
		, (g_nBilateralFilterValue) / 2);

	namedWindow("【滚动条窗口】", 0);
	createTrackbar("Thred", "【滚动条窗口】", &g_nThred, 255, 0);
	createTrackbar("Way", "【滚动条窗口】", &g_nWay, 3, 0);
	createTrackbar("Thick", "【滚动条窗口】", &g_nThick, 100, 0);
	createTrackbar("Gray/Bgr", "【滚动条窗口】", &g_nGrayOrBgr, 1, 0);
	createTrackbar("Color", "【滚动条窗口】", &g_nColor, 1, 0);
	createTrackbar("Blue", "【滚动条窗口】", &g_nBlue, 255, 0);
	createTrackbar("Green", "【滚动条窗口】", &g_nGreen, 255, 0);
	createTrackbar("CurrValue", "【滚动条窗口】", &g_nCurrValue, 255, 0);
	createTrackbar("BilateralFilterValue", "【滚动条窗口】", &g_nBilateralFilterValue, 100, 0);

	Mat cannyImage;
	vector<vector<Point>> contours;
	vector<Vec4i> hierarchy;
	Mat dstImage;
	Scalar color;
	char key;
	while (1)
	{
		Canny(grayImage, cannyImage, (double)g_nCurrValue, (double)((g_nCurrValue + 1) * (2 + g_nP / 100.0)), 3);
		imshow("【边缘检测后的图像】", cannyImage);

		//进行轮廓检测
		findContours(cannyImage, contours, hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);
		//绘制多个轮廓,绘制一个轮廓的函数为:drawContours函数
		if (!g_nGrayOrBgr)
			srcImage.copyTo(dstImage);
		else
			grayImage.copyTo(dstImage);
		for (int i = 0; i >= 0; i = hierarchy[i][g_nWay])
		{
			if (!g_nColor)
				color = Scalar(g_nBlue, g_nGreen, g_nRed);
			else
				color = Scalar(rand() & 255, rand() & 255, rand() & 255);

			drawContours(dstImage, contours, i, color, g_nThick + 1, 8, hierarchy);
		}
		imshow("【绘制轮廓后的图像】", dstImage);

		key = waitKey(1);
		if (key == 27)
			break;
	}

	return 0;
}

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