獲取藍色在圖片中所占百分比

• 思路
• • 代碼
  • 運行結果
  • 測試圖片

思路

由于每種顏色都有一個閾值，單純的計算RGB百分比的效果并不好，對于這點，網上已經有很多結論。于是，我想到采用hsv空間下每個像素點分量，獲取某種顏色所占百分比（我這里采用的是藍色）。因為，在hsv空間下，相近顏色都會被歸于一個范圍。所以，我們可以比較相近顏色，在圖片中，所占百分比。

代碼

#include <iostream> #include <opencv2/opencv.hpp> #include <iomanip> #include <cmath> #include <string> #include <opencv2/highgui/highgui_c.h> #include <unordered_map> #include <vector> using namespace std; using namespace cv; //struct Triple //{ // char col[_MAX_PATH]; // int h_min; // int s_min; // int v_min; // int h_max; // int s_max; // int v_max; //}; /* 區分不同顏色，在圖片中所占百分比 */ unordered_map<string,float> hsv_percentage(Mat hsv_image) {int num_black = 0;int num_grey = 0;int num_white = 0;int num_red = 0;int num_orange = 0;int num_yellow = 0;int num_green = 0;int num_blue = 0;int num_purple = 0;//vector<float> record(9,0);unordered_map<string, float> record;float area = (float)(hsv_image.rows * hsv_image.cols);for (int i = 0; i < hsv_image.rows; i++) //行數{for (int j = 0; j < hsv_image.cols; j++) //列數{//在這里操作具體元素//{"black", 0, 0, 0, 180, 255, 46}if ((hsv_image.at<Vec3b>(i, j)[0] >= 0 && hsv_image.at<Vec3b>(i, j)[0] <= 180)&& (hsv_image.at<Vec3b>(i, j)[1] >= 0 && hsv_image.at<Vec3b>(i, j)[1] <= 255)&& (hsv_image.at<Vec3b>(i, j)[2] >= 0 && hsv_image.at<Vec3b>(i, j)[2] <= 46)) {num_black++;}//{ "grey",0,0,46,180,43,220 }else if ((hsv_image.at<Vec3b>(i, j)[0] >= 0 && hsv_image.at<Vec3b>(i, j)[0] <= 180)&& (hsv_image.at<Vec3b>(i, j)[1] >= 0 && hsv_image.at<Vec3b>(i, j)[1] <= 43)&& (hsv_image.at<Vec3b>(i, j)[2] >= 46 && hsv_image.at<Vec3b>(i, j)[2] <= 220)) {num_grey++;}// { "white",0,0,221,180,30,255 }else if ((hsv_image.at<Vec3b>(i, j)[0] >= 0 && hsv_image.at<Vec3b>(i, j)[0] <= 180)&& (hsv_image.at<Vec3b>(i, j)[1] >= 0 && hsv_image.at<Vec3b>(i, j)[1] <= 30)&& (hsv_image.at<Vec3b>(i, j)[2] >= 221 && hsv_image.at<Vec3b>(i, j)[2] <= 255)) {num_white++;}//{ "red", 156, 43, 46, 180, 255, 255 }else if ((hsv_image.at<Vec3b>(i, j)[0] >= 156 && hsv_image.at<Vec3b>(i, j)[0] <= 180)&& (hsv_image.at<Vec3b>(i, j)[1] >= 43 && hsv_image.at<Vec3b>(i, j)[1] <= 255)&& (hsv_image.at<Vec3b>(i, j)[2] >= 46 && hsv_image.at<Vec3b>(i, j)[2] <= 255)) {num_red++;}else if ((hsv_image.at<Vec3b>(i, j)[0] >= 0&& hsv_image.at<Vec3b>(i, j)[0] <= 10)&& (hsv_image.at<Vec3b>(i, j)[1] >= 43 && hsv_image.at<Vec3b>(i, j)[1] <= 255)&& (hsv_image.at<Vec3b>(i, j)[2] >= 46 && hsv_image.at<Vec3b>(i, j)[2] <= 255)) {num_red++;}//{ "orange",11,43,46,25,255,255 }else if ((hsv_image.at<Vec3b>(i, j)[0] >= 11 && hsv_image.at<Vec3b>(i, j)[0] <= 25)&& (hsv_image.at<Vec3b>(i, j)[1] >= 43 && hsv_image.at<Vec3b>(i, j)[1] <= 255)&& (hsv_image.at<Vec3b>(i, j)[2] >= 46 && hsv_image.at<Vec3b>(i, j)[2] <= 255)) {num_orange++;}// { "yellow", 26, 43, 46, 34, 255, 255 }else if ((hsv_image.at<Vec3b>(i, j)[0] >= 26 && hsv_image.at<Vec3b>(i, j)[0] <= 34)&& (hsv_image.at<Vec3b>(i, j)[1] >= 43 && hsv_image.at<Vec3b>(i, j)[1] <= 255)&& (hsv_image.at<Vec3b>(i, j)[2] >= 46 && hsv_image.at<Vec3b>(i, j)[2] <= 255)) {num_yellow++;}//{ "green",35,43,46,99,255,255 },else if ((hsv_image.at<Vec3b>(i, j)[0] >= 35 && hsv_image.at<Vec3b>(i, j)[0] <= 99)&& (hsv_image.at<Vec3b>(i, j)[1] >= 43 && hsv_image.at<Vec3b>(i, j)[1] <= 255)&& (hsv_image.at<Vec3b>(i, j)[2] >= 46 && hsv_image.at<Vec3b>(i, j)[2] <= 255)) {num_green++;}//{ "blue",100,43,46,124,255,255 },else if ((hsv_image.at<Vec3b>(i, j)[0] >= 100 && hsv_image.at<Vec3b>(i, j)[0] <= 124)&& (hsv_image.at<Vec3b>(i, j)[1] >= 43 && hsv_image.at<Vec3b>(i, j)[1] <= 255)&& (hsv_image.at<Vec3b>(i, j)[2] >= 46 && hsv_image.at<Vec3b>(i, j)[2] <= 255)) {num_blue++;}// { "purple",125,43,46,155,255,255 }else if ((hsv_image.at<Vec3b>(i, j)[0] >= 125 && hsv_image.at<Vec3b>(i, j)[0] <= 155)&& (hsv_image.at<Vec3b>(i, j)[1] >= 43 && hsv_image.at<Vec3b>(i, j)[1] <= 255)&& (hsv_image.at<Vec3b>(i, j)[2] >= 46 && hsv_image.at<Vec3b>(i, j)[2] <= 255)) {num_purple++;}}}record.insert(make_pair("black", (float)num_black / area));record.insert(make_pair("grey", (float)num_grey / area));record.insert(make_pair("white", (float)num_white / area));record.insert(make_pair("red", (float)num_red / area));record.insert(make_pair("orange", (float)num_orange / area));record.insert(make_pair("yellow", (float)num_yellow / area));record.insert(make_pair("green", (float)num_green / area));record.insert(make_pair("blue", (float)num_blue / area));record.insert(make_pair("purple", (float)num_purple / area));//(float)num / (float)(hsv_image.rows * hsv_image.cols);return record; } /* 在圖片里查找指定顏色的比例 */ void Mat_color_Find(string qimage) {Mat image = imread(qimage);//將圖片加載進來if (image.empty()){cout << "could not load image...\n" << endl;return;}Mat hsv_image;cvtColor(image, hsv_image, CV_BGR2HSV);unordered_map<string, float> temp = hsv_percentage(hsv_image);//rat = (float)num / (float)(hsv_image.rows * hsv_image.cols);for (auto it = temp.begin(); it != temp.end();it++) {cout << it->first << " " <<it->second << endl;}return; } int main(){/*struct Triple colour[9] ={{"black",0,0,0,180,255,46},{"grey",0,0,46,180,43,220},{"white",0,0,221,180,30,255},{"red",156,43,46,180,255,255},{"orange",11,43,46,25,255,255},{"yellow",26,43,46,34,255,255},{"green",35,43,46,99,255,255},{"blue",100,43,46,124,255,255},{"purple",125,43,46,155,255,255}};*/string s = "C:/Users/wenhaofu/Desktop/picture/2021-07-01.png";Mat_color_Find(s);//cout << blue_temp << endl; }

運行結果

測試圖片

獲取其中各種顏色所占百分比

總結

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