OpenCV——查找、绘制轮廓

最新推荐文章于 2024-10-13 20:26:52 发布

转载最新推荐文章于 2024-10-13 20:26:52 发布 · 95 阅读

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原文链接：http://www.cnblogs.com/fcfc940503/p/11305528.html

本文详细介绍如何使用OpenCV库进行图像轮廓检测和绘制。首先，通过读取图像并将其转换为灰度图像来预处理图像，然后应用Canny边缘检测算法。接着，使用findContours函数找到所有轮廓，并通过drawContours函数将这些轮廓绘制到图像上，最后在窗口中显示结果。

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使用OpenCV函数 findContours

使用OpenCV函数 drawContours

#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
#include <stdlib.h>

using namespace cv;
using namespace std;

Mat src; Mat src_gray;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);

/// Function header
void thresh_callback(int, void*);

/** @function main */
int main(int argc, char** argv)
{
    /// 加载源图像
    src = imread("E:\\VS2015Opencv\\vs2015\\project\\picture\\01.jpg", 1);

    /// 转成灰度并模糊化降噪
    cvtColor(src, src_gray, CV_BGR2GRAY);
    blur(src_gray, src_gray, Size(3, 3));

    /// 创建窗体
    char* source_window = "Source";
    namedWindow(source_window, CV_WINDOW_AUTOSIZE);
    imshow(source_window, src);

    createTrackbar(" Canny thresh:", "Source", &thresh, max_thresh, thresh_callback);
    thresh_callback(0, 0);

    waitKey(0);
    return(0);
}

/** @function thresh_callback */
void thresh_callback(int, void*)
{
    Mat canny_output;
    vector<vector<Point> > contours;
    vector<Vec4i> hierarchy;

    /// 用Canny算子检测边缘
    Canny(src_gray, canny_output, thresh, thresh * 2, 3);
    /// 寻找轮廓
    findContours(canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));

    /// 绘出轮廓
    Mat drawing = Mat::zeros(canny_output.size(), CV_8UC3);
    for (int i = 0; i< contours.size(); i++)
    {
        Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));
        drawContours(drawing, contours, i, color, 2, 8, hierarchy, 0, Point());
    }

    /// 在窗体中显示结果
    namedWindow("Contours", CV_WINDOW_AUTOSIZE);
    imshow("Contours", drawing);
}

转载于:https://www.cnblogs.com/fcfc940503/p/11305528.html