《图像处理实例》之寻找图纸标注-白红宇

《图像处理实例》之寻找图纸标注

阅读量：4287 次

发布时间：2019-05-27

本文共 3309 字，大约阅读时间需要 11 分钟。

要求：寻找图纸零件所有标注的字符，包括位置信息+图像信息

方法：

　　1.利用形态学+轮廓信息去查询

　　　　这里精度不是很高，计算难度也比较复杂，好处是思想简单。

　　2.利用模板匹配　　　　

　　　　这里是保证模板和实际相差不大，不然匹配精度就很差了。

1 #include 
     
       2 #include 
      
        3 #include "math.h" 4 using namespace cv; 5 using namespace std; 6  7 typedef struct MyStruct 8 { 9     Rect my_rec;10     Mat my_img;11 }MyStruct;12 13 int main(int argc, char*argv[])14 {15     Mat inputImage = imread("1.png");16     Mat showImage = inputImage.clone();17     cvtColor(inputImage, inputImage, CV_BGR2GRAY);18     Mat morph, gray = inputImage.clone(), showGray;19     showGray.create(inputImage.size(), CV_8UC1);20     showGray.setTo(0);21     vector
       
        
         > contours;22     vector
         
           hierarchy;23     findContours(inputImage, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(-1, -1));24     Rect rec_adapt;25     for (size_t i = 0; i < contours.size(); i++)26     {27         int x = minAreaRect(contours[i]).boundingRect().x;28         int y = minAreaRect(contours[i]).boundingRect().y;29         int width = minAreaRect(contours[i]).boundingRect().width;30         int height = minAreaRect(contours[i]).boundingRect().height;31         Mat true_image;32         int true_pix_count;33         double true_pix_rate;34         if (x < 0 || y < 0) true_pix_rate = 1;35         else36         {37             true_image = gray(Rect(x, y, width, height));38             true_pix_count = countNonZero(true_image);39             true_pix_rate = static_cast
          
           (true_pix_count) / static_cast
           
            (minAreaRect(contours[i]).boundingRect().area());40 } 41 double angle = minAreaRect(contours[i]).angle;42 bool flag_angle = (angle == 9 || angle == 180 || angle == 0 ) ? true : false;//|| angle == 27043 if (minAreaRect(contours[i]).size.height >= 10 && minAreaRect(contours[i]).size.height <= 20 && minAreaRect(contours[i]).size.width >= 4 && minAreaRect(contours[i]).size.width <= 30 && flag_angle && true_pix_rate <= 0.8)//44 {45 drawContours(showGray, contours, static_cast
            
             (i), Scalar(255, 255, 255), 1);46 }47 }48 Mat img1;49 Mat kernel_x = getStructuringElement(MORPH_RECT, Size(20,1));50 Mat kernel_y = getStructuringElement(MORPH_RECT, Size(1, 28));51 Mat kernel_x_l = getStructuringElement(MORPH_RECT, Size(20, 1));52 morphologyEx(showGray, showGray, MORPH_DILATE, kernel_x);53 morphologyEx(showGray, showGray, MORPH_DILATE, kernel_x);54 morphologyEx(showGray, img1, MORPH_OPEN, kernel_y);55 showGray = showGray - img1;56 morphologyEx(showGray, showGray, MORPH_CLOSE, kernel_x_l);57 findContours(showGray, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(-1, -1));58 vector
             
               my_class;59 for (size_t i = 0; i < contours.size(); i++)60 { 61 if (boundingRect(contours[i]).width > 60)62 {63 int x = minAreaRect(contours[i]).boundingRect().x;64 int y = minAreaRect(contours[i]).boundingRect().y;65 int width = minAreaRect(contours[i]).boundingRect().width;66 int height = minAreaRect(contours[i]).boundingRect().height;67 MyStruct Struct_temp;68 Struct_temp.my_rec = boundingRect(contours[i]);69 Struct_temp.my_img = showImage(Rect(x, y, width, height)).clone();70 my_class.push_back(Struct_temp);71 rectangle(showImage, boundingRect(contours[i]), Scalar(0, 0, 255));72 } 73 }74 75 76 waitKey(0);77 return 0;78 79 }