OpenCV获得最大连通域

最新推荐文章于 2025-05-03 16:48:18 发布

Augusdi

最新推荐文章于 2025-05-03 16:48:18 发布

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分类专栏： OpenCV

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本文通过使用OpenCV库实现图像预处理，包括灰度转换、二值化及形态学处理，并采用洪水填充算法对图像中的连通域进行标记与统计，最终找出并突出显示最大的连通区域。

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#include <cv.h>   
#include <highgui.h>   
#include <vector>   
#include <algorithm>   
using namespace std;

#pragma comment( lib, "cv.lib" )   
#pragma comment( lib, "cxcore.lib" )   
#pragma comment( lib, "highgui.lib" )   

int main()  
{  
	IplImage *src = cvLoadImage("wind.png", CV_LOAD_IMAGE_COLOR);
	cvNamedWindow("原始图像");
	cvShowImage("原始图像", src);

	IplImage* dst = cvCreateImage(cvSize(src->width,src->height),IPL_DEPTH_8U,1); 
	cvCvtColor(src, dst, CV_BGR2GRAY);
	cvNamedWindow("灰度图像");
	cvShowImage("灰度图像", dst);

	cvThreshold(dst, dst, 0.0, 255.0, CV_THRESH_BINARY | CV_THRESH_OTSU);//OTSU二值化   
	IplConvKernel *element = cvCreateStructuringElementEx(5, 5, 0, 0, CV_SHAPE_ELLIPSE);
	cvMorphologyEx(dst, dst, NULL, element, CV_MOP_OPEN);//开运算，去除比结构元素小的点   
	cvReleaseStructuringElement(&element);
	cvNamedWindow("二值图像");
	cvShowImage("二值图像", dst);

	int w,h;
	CvSize sz = cvGetSize(dst);

	int color = 254; // 不对0计数,不可能为255,所以254   
	for (w = 0; w < sz.width; w++)  
	{  
		for (h = 0; h < sz.height; h++)  
		{  
			if (color > 0)  
			{  
				if (CV_IMAGE_ELEM(dst, unsigned char, h, w) == 255)  
				{  
					// 把连通域标记上颜色   
					cvFloodFill(dst, cvPoint(w, h), CV_RGB(color, color, color));
					color--;
				}  
			}  
		}  
	}  
	cvNamedWindow("标记颜色后的图像");
	cvShowImage("标记颜色后的图像", dst);

	int colorsum[255] = {0};
	for (w=0; w<sz.width; w++)  
	{  
		for (h=0; h<sz.height; h++)  
		{  
			if (CV_IMAGE_ELEM(dst, unsigned char, h, w) > 0)  
			{  
				colorsum[CV_IMAGE_ELEM(dst, unsigned char, h, w)]++;//统计每种颜色的数量   
			}  
		}  
	}  
	std::vector<int> v1(colorsum, colorsum+255);//用数组初始化vector   
	//求出最多数量的染色，注意max_element的使用方法   
	int maxcolorsum = max_element(v1.begin(), v1.end()) - v1.begin();
	printf("%d\n",maxcolorsum);

	for (w=0; w<sz.width; w++)  
	{  
		for (h=0; h<sz.height; h++)  
		{  
			if (CV_IMAGE_ELEM(dst, unsigned char, h, w) == maxcolorsum)  
			{  
				CV_IMAGE_ELEM(dst, unsigned char, h, w) = 255;
			}  
			else  
			{  
				CV_IMAGE_ELEM(dst, unsigned char, h, w) = 0;
			}  
		}  
	}  
	cvNamedWindow("最大连通域图");
	cvShowImage("最大连通域图", dst);

	cvWaitKey(0); 
	cvDestroyAllWindows();
	cvReleaseImage(&src);
	cvReleaseImage(&dst);

	return 0;
}