opencv学习-图片与摄像头画面载入显示及些基础示例操作

版权声明：本文为博主原创文章，未经博主允许不得转载。 https://blog.csdn.net/sky_person/article/details/91349146

相关头文件：

#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/imgcodecs/imgcodecs_c.h>

图片加载显示方式一：

	std::string imgpath = "D:/lenna.jpg";
	IplImage* imgsrc = cvLoadImage(imgpath.c_str());
	cvShowImage("ImageProc", imgsrc);
	cv::waitKey(0);
	cvReleaseImage(&imgsrc);
	cvDestroyWindow("ImageProc");

图片加载方式二：

	cv::Mat in_image;
	std::string imgpath = "D:/lenna.jpg";
	in_image = cv::imread(imgpath.c_str());
	if (in_image.empty()) {
		std::cout << "Error! Input image cannot be read...\n";
		return -1;
	}
	cv::imshow("ImageProc", in_image);
	cv::waitKey(0);

摄像头打开方式：

	cv::VideoCapture cap(0); //打开默认的摄像头号
	if (!cap.isOpened())  //检测是否打开成功
		return -1;
	cv::Mat frame;
	cv::namedWindow("ImageProc", 1);
	for (;;)
	{
		cap >> frame; // 从摄像头中获取新的一帧
		imshow("edges", frame);
		if (cv::waitKey(30) >= 0) break;
	}

简单的高斯模糊处理图像示例：

	std::string imgpath = "D:/lenna.jpg";
	IplImage* imgsrc = cvLoadImage(imgpath.c_str());
	IplImage* out = cvCreateImage(cvGetSize(imgsrc), IPL_DEPTH_8U, 3);
	cvSmooth(imgsrc, out, CV_GAUSSIAN, 5, 5);
	cvShowImage("ImageProc", out);
	cv::waitKey(0);
	cvReleaseImage(&out);
	cvDestroyWindow("ImageProc");

图片生成一个原始图像一半的图像cvCreateImage、cvPyrDown

	IplImage* imgsrc = cvLoadImage(imgpath.c_str());
	IplImage* out = cvCreateImage(cvSize(imgsrc->width/2,imgsrc->height/2), imgsrc->depth, imgsrc->nChannels);
	cvPyrDown(imgsrc, out);
	cvShowImage("ImageProc", out);
	cv::waitKey(0);
	cvReleaseImage(&out);
	cvDestroyWindow("ImageProc");

Candy边缘检测示例

	double lowThresh = 10, highThresh = 100, aperture = 3;
	IplImage* imgsrc = cvLoadImage(imgpath.c_str());
	IplImage* out = cvCreateImage(cvGetSize(imgsrc), imgsrc->depth, 1);
	cvCanny(imgsrc, out, lowThresh, highThresh, aperture);
	cvShowImage("ImageProc", out);
	cv::waitKey(0);
	cvReleaseImage(&out);
	cvDestroyWindow("ImageProc");

组合操作：两次缩放，再进行Candy边缘检测

IplImage* doPyrDown(IplImage* in) {
	IplImage* out = cvCreateImage(cvSize(in->width/2,in->height/2),in->depth,in->nChannels);
	cvPyrDown(in, out);
	return out;
}

/* * *
* canny 处理图必须为灰度图
* * */
IplImage* doCanny(IplImage* in, double lowThresh, double highThresh, double aperture) {
	if (in->nChannels != 1)
		return 0;
	IplImage* out = cvCreateImage(cvGetSize(in), in->depth, 1);
	cvCanny(in, out, lowThresh, highThresh, aperture);
	return out;
}

int main(int argc, char** argv) 
{
	std::string imgpath = "D:/Engine/ImageProc/x64/Debug/lenna.jpg";
	IplImage* imgsrc = cvLoadImage(imgpath.c_str());
	IplImage* t1 = doPyrDown(imgsrc);
	IplImage* t2 = doPyrDown(t1);
	IplImage* t3 = doCanny(t2,10,100,3);
	cvShowImage("ImageProc", t3);
	cv::waitKey(0);
	cvReleaseImage(&imgsrc);
	cvReleaseImage(&t1);
	cvReleaseImage(&t2);
	cvReleaseImage(&t3);
	cvDestroyWindow("ImageProc");
}