颜色空间转换

#include<opencv2corecore.hpp>
#include<opencv2imgprocimgproc.hpp>
#include<opencv2highguihighgui.hpp>
#include<iostream>

using namespace std;
using namespace cv;


class ColorDetector
{
public:
	ColorDetector():minDist(100)
	{
		target[0]=target[1]=target[0]=0;
	};
	void setColorDistanceThreshold(int distance)
	{
		if(distance<0)
			distance=0;
		minDist=distance;
	};
	int getColorDistanceThreshold() const
	{
	return minDist;
	};
	void setTargetColor(unsigned char red,
	                    unsigned char green,
						unsigned char blue)
	{
		cv::Mat tmp(1,1,CV_8UC3);
		tmp.at<cv::Vec3b>(0,0)[0]=blue;
		tmp.at<cv::Vec3b>(0,0)[1]=green;
		tmp.at<cv::Vec3b>(0,0)[2]=red;
		cv::cvtColor(tmp,tmp,CV_BGR2Lab);//转换目标到Lab空间
		target=tmp.at<cv::Vec3b>(0,0);
	};
	void setTargetColor(cv::Vec3b color)
	{
		target=color;
	};
	cv::Vec3b getTargetColor() const
	{
		return target;
	};
	int getDistance(const cv::Vec3b& color) const
{
	return abs(color[0]-target[0])+abs(color[1]-target[1])+abs(color[2]-target[2]);
};
	cv::Mat process(const cv::Mat &image);//核心算法，在类外实现
private:
	int minDist;
	cv::Vec3b target;
	cv::Mat result;
	cv::Mat converted;
};
cv::Mat ColorDetector::process(const cv::Mat &image)
{
	result.create(image.rows,image.cols,CV_8U);
	converted.create(image.rows,image.cols,image.type());
	cv::cvtColor(image,converted,CV_BGR2Lab);
	cv::Mat_<cv::Vec3b>::const_iterator it=image.begin<cv::Vec3b>();
	cv::Mat_<cv::Vec3b>::const_iterator itend=image.end<cv::Vec3b>();
	cv::Mat_<uchar>::iterator itout=result.begin<uchar>();
	for(;it!=itend;++it,++itout)
	{
		if(getDistance(*it)<minDist)
		{
			*itout=255;
		}
		else
		{
			*itout=0;
		}
	}
	return result;
}
int main()
{
	ColorDetector cdetect;
	cv::Mat image=imread("d:/test/opencv/img.jpg");
	if(!image.data)
	{
		cout<<"picture read failure"<<endl;
		return 0;
	}
	cdetect.setTargetColor(130,190,230);
	cv::namedWindow("result");
	cv::imshow("result",cdetect.process(image));
	cv::waitKey();
	return 0;
}