【OpenCV】OpenCV创建颜色识别类-class ColorDetector

来源：互联网发布：南昌金域名都租房编辑：程序博客网时间：2024/05/20 14:42

将其构造函数声明为private，提供静态的接口来获得ColorDetector对象

void setColorDistanceThreshold(int) 用于设置阈值
void setTargetColor(unsigned char, unsigned char, unsigned char)
void setTargetColor(cv::Vec3b) 用于设置颜色
bool setInputImage(std::string) 用于载入待处理图像
cv::Mat getResult() const 用于返回处理结果，结果用一副图像表示

#ifndef COLORDETECTOR_H_#define COLORDETECTOR_H_#include <opencv2/core/core.hpp>#include <opencv2/highgui/highgui.hpp>#include <string>class ColorDetector{private:        int minDist;        cv::Vec3b target;        cv::Mat result;        cv::Mat image;        ColorDetector();        static ColorDetector *singleton;public:        static ColorDetector * getInstance();        static void destory();        void setColorDistanceThreshold(int);        int getColorDistanceThreshold() const;        void setTargetColor(unsigned char, unsigned char, unsigned char);        void setTargetColor(cv::Vec3b);        cv::Vec3b getTargetColor() const;        void process();        int getDistance(const cv::Vec3b&) const;        cv::Mat getResult() const;        bool setInputImage(std::string);        cv::Mat getInputImage() const;};#endif /* COLORDETECTOR_H_ */

#include "ColorDetector.h"ColorDetector* ColorDetector::singleton = 0;ColorDetector::ColorDetector():minDist(100){        target[0] = target[1] = target[2] = 0;}ColorDetector* ColorDetector::getInstance(){        if(singleton == 0){                singleton = new ColorDetector;        }        return singleton;}void ColorDetector::destory(){        if(singleton!=0){                delete singleton;        }        singleton = 0;}void ColorDetector::setColorDistanceThreshold(int distance){        if(distance < 0){                distance = 0;        }        minDist = distance;}int ColorDetector::getColorDistanceThreshold() const{        return minDist;}void ColorDetector::setTargetColor(unsigned char red,                unsigned char green, unsigned char blue){        target[2] = red;        target[1] = green;        target[0] = blue;}void ColorDetector::setTargetColor(cv::Vec3b color){        target = color;}cv::Vec3b ColorDetector::getTargetColor() const{        return target;}int ColorDetector::getDistance(const cv::Vec3b& color) const{        return abs(color[0]-target[0])+abs(color[1]-target[1])+abs(color[2]-target[2]);}void ColorDetector::process(){        result.create(image.rows, image.cols, CV_8U);        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;                }        }}cv::Mat ColorDetector::getResult() const{        return result;}bool ColorDetector::setInputImage(std::string filename){        image = cv::imread(filename);        if(!image.data){                return false;        }        return true;}cv::Mat ColorDetector::getInputImage() const{        return image;}

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