opencvc++线检测封装类

1、opencvc+ 线检测封装类/各位拿的时候请注明博客地址#ifndef OPENCVLinesDetector_HPP#define OPENCVLinesDetector_HPP#include AbstractLinesDetector.hppnamespace doppia class OpenCvLinesDetector: public AbstractLinesDetectorpublic:OpenCvLinesDetector();OpenCvLinesDetector(const float input_image_threshold,const float directio

2、n_resolution, const float origin_resolution,const int detection_threshold);OpenCvLinesDetector();void operator()(const source_view_t &src, lines_t &lines);protected:/ 0 to 255,input_image pixels below this value are considered as 0const float input_image_threshold;const float direction_resolution;co

3、nst float origin_resolution;const int detection_threshold; / namespace doppia#endif / OPENCVLinesDetector_HPPAnd cpp#include OpenCvLinesDetector.hpp#include #include #include #include #include namespace doppia using namespace std;OpenCvLinesDetector:OpenCvLinesDetector():input_image_threshold(150),d

4、irection_resolution(M_PI/180)*1),origin_resolution(1),detection_threshold(50)/ nothing to do herereturn;OpenCvLinesDetector:OpenCvLinesDetector(const float input_image_threshold_,const float direction_resolution_, const float origin_resolution_,const int detection_threshold_): input_image_threshold(

5、input_image_threshold_),direction_resolution(direction_resolution_),origin_resolution(origin_resolution_),detection_threshold(detection_threshold_)/ nothing to do herereturn;OpenCvLinesDetector:OpenCvLinesDetector()/ nothing to do herereturn;void OpenCvLinesDetector:operator()(const source_view_t &s

6、rc, lines_t &lines)using namespace boost:gil;/ convert to opencv format -opencv:ipl_image_wrapper src_img = opencv:create_ipl_image(src);cv:Mat input_image(src_img.get();const double threshold_value = input_image_threshold; / 0 to 255const double max_value = 255;const int threshold_type = cv:THRESH_

7、TOZERO; / any value bellow the threshold_value is set to zerocv:threshold(input_image, input_image, threshold_value, max_value, threshold_type);/ call opencv -vector found_lines;const float rho_scale = 1;const float theta_scale = 1;/ rho: distance resolution of the accumulator in pixelsconst double

8、rho = origin_resolution*rho_scale;/ theta: angle resolution of the accumulator in radiansconst double theta = direction_resolution*theta_scale;/ threshold: the accumulator threshold parameter. Only those lines are returned that get enough votesconst int threshold = detection_threshold;/cv:HoughLines

9、(input_image, found_lines, rho, theta, threshold, rho_scale, theta_scale);cv:HoughLines(input_image, found_lines, rho, theta, threshold);/ convert to output format -lines.clear();for(std:size_t i=0; i found_lines.size(); i+=1)line_t t_line;const float rho = found_linesi0;const float theta = found_li

10、nesi1;double sin_theta, cos_theta;sincos(theta, &sin_theta, &cos_theta);if(sin_theta = 0)/ we simply skip this value (is this such a good idea ?)continue;/throw std:runtime_error(OpenCvLinesDetector:operator division by zero);/ 理论见维基百科t_line.direction()(0) = - cos_theta / sin_theta;t_line.origin()(0

11、) = rho / sin_theta;lines.push_back(t_line);const bool show_found_lines = false;if(show_found_lines)if(show_found_lines)cv:Mat src_img_mat(src_img.get(), color_image;cv:cvtColor(src_img_mat, color_image, CV_GRAY2RGB);const size_t max_lines_to_draw = 1;/5; / 20for(size_t i = 0;i std:min(found_lines.s

12、ize(), max_lines_to_draw); i+=1)CvPoint pt1, pt2;const bool draw_final_lines = true;if(draw_final_lines)const line_t &t_line = lines.at(i);pt1.x = 0;pt1.y = t_line.origin()(0);pt2.x = 1000;pt2.y = pt1.y + pt2.x * t_line.direction()(0);else/ use opencv lines instead of final linesconst cv:Vec2f &t_li

13、ne = found_lines.at(i);const float rho = t_line0;const float theta = t_line1;const double cos_theta = cos(theta), sin_theta = sin(theta);const double x0 = cos_theta*rho, y0 = sin_theta*rho;pt1.x = cvRound(x0 + 1000*(-sin_theta);pt1.y = cvRound(y0 + 1000*(cos_theta);pt2.x = cvRound(x0 - 1000*(-sin_theta);pt2.y = cvRound(y0 - 1000*(cos_theta);const int thickness = 1;cv:line( color_ima