[OpenCV]OpenCVカラー識別クラスを作成する-class ColorDetector

そのコンストラクション関数をprivateとして宣言し、ColorDetectorオブジェクトvoid setColorDistanceThreshold(int)を取得するための静的インタフェースを提供し、閾値void setTargetColor(unsigned char,unsigned char,unsigned char)void setTargetColor(cv::Vec 3 b)を設定するための色bool setInputImage(std::string)を設定し、処理対象画像cv::MatgetResult()constをロードして処理結果を返すために使用する.結果を1枚の画像で表す

#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;
}