[人工智能]opencv_C++学习（6）

1.处理边缘

代码演示：

#include<opencv2/opencv.hpp>
#include<iostream>
#include<math.h>
#include <opencv2\imgproc\types_c.h>

using namespace cv;

int main(int argc, char** argv)
{
	Mat src, dst;
	src = imread("C:/ERRT/140506-jordan-speedread-tease_ednmry.jpg");
	if (!src.data)
	{
		printf("could not load image...\n");
		return -1;
	}
	char INPUT_WIN[] = "input image";
	char OUTPUT_WIN[] = "Border Demo";
	namedWindow(INPUT_WIN, WINDOW_FREERATIO);
	namedWindow(OUTPUT_WIN, WINDOW_FREERATIO);
	imshow(INPUT_WIN, src);

	int top = (int)(0.05 * src.rows);
	int bottom = (int)(0.05 * src.rows);
	int left = (int)(0.05 * src.cols);
	int right = (int)(0.05 * src.cols);
	RNG rng(12345);
	int borderType = BORDER_DEFAULT;

	int c = 0;
	while (true)
	{
		c = waitKey(500);
		//ESC
		if ((char)c == 27)
		{
			break;
		}
		if ((char)c == 'r')
		{
			borderType = BORDER_REPLICATE;
		}
		else if((char)c=='w')
		{
			borderType = BORDER_WRAP;
		}
		else if ((char)c == 'c')
		{
			borderType = BORDER_CONSTANT;
		}
		Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));
		copyMakeBorder(src, dst, top, bottom, left, right, borderType, color);
		imshow(OUTPUT_WIN, dst);
	}

	return 0;
}

效果图：

2.Sobel算子

代码演示：

#include<opencv2/opencv.hpp>
#include<iostream>
#include<math.h>
#include <opencv2\imgproc\types_c.h>

using namespace cv;

int main(int argc, char** argv)
{
	Mat src, dst;
	src = imread("C:/ERRT/140506-jordan-speedread-tease_ednmry.jpg");
	if (!src.data)
	{
		printf("could not load image...\n");
		return -1;
	}
	char INPUT_WIN[] = "input image";
	char OUTPUT_WIN[] = "sobel-demo";
	namedWindow(INPUT_WIN, WINDOW_FREERATIO);
	namedWindow(OUTPUT_WIN, WINDOW_FREERATIO);
	imshow(INPUT_WIN, src);

	Mat gray_src;
	GaussianBlur(src, dst, Size(3, 3), 0, 0);
	cvtColor(dst, gray_src, CV_BGR2GRAY);
	namedWindow("gray image", WINDOW_FREERATIO);
	imshow("gray image", gray_src);

	Mat xgrad, ygrad;
	Sobel(gray_src, xgrad, CV_16S, 1, 0, 3);
	Sobel(gray_src, ygrad, CV_16S, 0, 1, 3);
	convertScaleAbs(xgrad, xgrad);
	convertScaleAbs(ygrad, ygrad);
	namedWindow("xgrad", WINDOW_FREERATIO);
	namedWindow("ygrad", WINDOW_FREERATIO);
	imshow("xgrad", xgrad);
	imshow("ygrad", ygrad);

	Mat xygrad;
	addWeighted(xgrad, 0.5, ygrad, 0.5, 0, xygrad);
	imshow(OUTPUT_WIN, xygrad);

	waitKey(0);
	return 0;
}

?效果图：

3.Laylance算子

代码演示：

#include<opencv2/opencv.hpp>
#include<iostream>
#include<math.h>
#include <opencv2\imgproc\types_c.h>

using namespace cv;

int main(int argc, char** argv)
{
	Mat src, dst;
	src = imread("C:/ERRT/140506-jordan-speedread-tease_ednmry.jpg");
	if (!src.data)
	{
		printf("could not load image...\n");
		return -1;
	}
	char INPUT_WIN[] = "input image";
	char OUTPUT_WIN[] = "Laplance Result";
	namedWindow(INPUT_WIN, WINDOW_FREERATIO);
	imshow(INPUT_WIN, src);

	Mat gray_src, edg_image;
	GaussianBlur(src, dst, Size(3, 3), 0, 0);
	cvtColor(dst, gray_src, CV_BGR2GRAY);

	Laplacian(gray_src, edg_image, CV_16S, 3);
	convertScaleAbs(edg_image, edg_image);

	threshold(edg_image, edg_image, 0, 255, THRESH_OTSU | THRESH_BINARY);
	namedWindow(OUTPUT_WIN, WINDOW_FREERATIO);
	imshow(OUTPUT_WIN, edg_image);

	waitKey(0);
	return 0;
}

?效果图：

4.Canny-边缘检测

代码演示：

#include<opencv2/opencv.hpp>
#include<iostream>
#include<math.h>
#include <opencv2\imgproc\types_c.h>

using namespace cv;
Mat src, gray_src, dst;
int t1_value = 20;
int max_value = 255;
const char* OUTPUT_TIITLE = "Canny Result";
void Canny_Demo(int, void*);
int main(int argc, char** argv)
{
	src = imread("C:/ERRT/140506-jordan-speedread-tease_ednmry.jpg");
	if (!src.data)
	{
		printf("could not load image...\n");
		return -1;
	}
	char INPUT_TIITLE[] = "input image";
	namedWindow(INPUT_TIITLE, WINDOW_FREERATIO);
	namedWindow(OUTPUT_TIITLE, WINDOW_FREERATIO);
	imshow(INPUT_TIITLE, src);

	cvtColor(src, gray_src, CV_BGR2GRAY);
	createTrackbar("Threshold Value:", OUTPUT_TIITLE, &t1_value, max_value, Canny_Demo);
	Canny_Demo(0, 0);

	waitKey(0);
	return 0;
}

void Canny_Demo(int, void*)
{
	Mat edge_output;
	blur(gray_src, gray_src, Size(3, 3), Point(-1, -1), BORDER_DEFAULT);
	Canny(gray_src, edge_output, t1_value, t1_value * 2, 3, false);

	dst.create(src.size(), src.type());
	src.copyTo(dst, edge_output);
	imshow(OUTPUT_TIITLE, dst);
}

?效果图：

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