{"id":2468,"date":"2011-11-17T14:12:18","date_gmt":"2011-11-16T20:12:18","guid":{"rendered":"http:\/\/www.moonmile.net\/blog\/archives\/2468"},"modified":"2011-11-17T14:14:33","modified_gmt":"2011-11-17T05:14:33","slug":"opencv-%e3%81%ae%e3%83%86%e3%83%b3%e3%83%97%e3%83%ac%e3%83%bc%e3%83%88%e3%83%9e%e3%83%83%e3%83%81%e3%82%92%e4%bd%bf%e3%81%a3%e3%81%a6%e9%a7%92%e3%82%92%e6%a4%9c%e5%87%ba","status":"publish","type":"post","link":"http:\/\/www.moonmile.net\/blog\/archives\/2468","title":{"rendered":"OpenCV \u306e\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u30de\u30c3\u30c1\u3092\u4f7f\u3063\u3066\u99d2\u3092\u691c\u51fa"},"content":{"rendered":"

\u30d7\u30c1\u30ed\u30dc\u4e8b\u59cb\u3081 | Moonmile Solutions Blog
\nhttp:\/\/www.moonmile.net\/blog\/archives\/2416<\/a>
\n\u30d7\u30c1\u30ed\u30dc\u3067\uff14\u8ef8\u69cb\u6210\u306b\u3057\u3066\u307f\u308b | Moonmile Solutions Blog
\nhttp:\/\/www.moonmile.net\/blog\/archives\/2421<\/a>
\nOpenCV \u3092\u4f7f\u3063\u3066\u30a8\u30c3\u30b8\u62bd\u51fa | Moonmile Solutions Blog
\nhttp:\/\/www.moonmile.net\/blog\/archives\/2452<\/a>
\nOpenCV \u3092\u4f7f\u3063\u3066\u9854\u8a8d\u8b58 | Moonmile Solutions Blog
\nhttp:\/\/www.moonmile.net\/blog\/archives\/2460<\/a><\/p>\n

\u306e\u7d9a\u304d<\/p>\n

\u30d1\u30ba\u30eb\u30b2\u30fc\u30e0\u3092\u89e3\u304f\u306e\u304c\u76ee\u7684\u306a\u306e\u3067\u3001\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u30de\u30c3\u30c1\u30f3\u30b0\u306f\u975e\u5e38\u306b\u30aa\u30fc\u30d0\u30fc\u30d8\u30c3\u30c9\u304c\u5927\u304d\u3044\u306e\u3067\u3059\u304c\u3001\u8a66\u3057\u306b\u3002<\/p>\n

\r\n#include <iostream>\r\n#include <opencv2\/core\/core.hpp>\r\n#include <opencv2\/imgproc\/imgproc.hpp>\r\n#include <opencv2\/highgui\/highgui.hpp>\r\n\r\nint\r\nmain(int argc, char *argv[])\r\n{\r\n\tCvCapture *capture = cvCreateCameraCapture(0);\r\n\r\n\t\/\/ \u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u753b\u50cf\r\n\tcv::Mat tmp_img = cv::imread(argv[2], 1);\r\n\tif(!tmp_img.data) return -1;\r\n\r\n  \tcv::namedWindow(&quot;search image&quot;, CV_WINDOW_AUTOSIZE|CV_WINDOW_FREERATIO);\r\n\twhile ( 1 ) {\r\n  \t\t\/\/ \u63a2\u7d22\u753b\u50cf\r\n  \t\tcv::Mat search_img0 = cvQueryFrame( capture );\r\n  \t\tcv::Mat search_img;\r\n  \t\tsearch_img0.copyTo( search_img );\r\n\r\n\t    cv::Mat result_img;\r\n\t\t\/\/ 50 \u500b\u691c\u51fa\u3059\u308b\r\n\t  \tfor ( int i=0; i<50; i++ ) {\r\n\t\t\t  \/\/ \u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u30de\u30c3\u30c1\u30f3\u30b0\r\n\t\t\t  cv::matchTemplate(search_img, tmp_img, result_img, CV_TM_CCOEFF_NORMED);\r\n\t\t\t  \/\/ \u6700\u5927\u306e\u30b9\u30b3\u30a2\u306e\u5834\u6240\u3092\u63a2\u3059\r\n\t\t\t  cv::Rect roi_rect(0, 0, tmp_img.cols, tmp_img.rows);\r\n\t\t\t  cv::Point max_pt;\r\n\t\t\t  double maxVal;\r\n\t\t\t  cv::minMaxLoc(result_img, NULL, &maxVal, NULL, &max_pt);\r\n\t\t\t  \/\/ \u4e00\u5b9a\u30b9\u30b3\u30a2\u4ee5\u4e0b\u306e\u5834\u5408\u306f\u51e6\u7406\u7d42\u4e86\r\n\t\t\t  if ( maxVal < 0.5 ) break;\r\n\r\n\t\t\t  roi_rect.x = max_pt.x;\r\n\t\t\t  roi_rect.y = max_pt.y;\r\n\t\t\t  std::cout << &quot;(&quot; << max_pt.x << &quot;, &quot; << max_pt.y << &quot;), score=&quot; << maxVal << std::endl;\r\n\t\t\t  \/\/ \u63a2\u7d22\u7d50\u679c\u306e\u5834\u6240\u306b\u77e9\u5f62\u3092\u63cf\u753b\r\n\t\t\t  cv::rectangle(search_img0, roi_rect, cv::Scalar(0,255,255), 3);\r\n\t\t\t  cv::rectangle(search_img, roi_rect, cv::Scalar(0,0,255), CV_FILLED);\r\n\t\t}\r\n\r\n  \t\tcv::imshow(&quot;search image&quot;, search_img0);\r\n  \t\tchar ch = cv::waitKey(33);\r\n\t\tif ( ch == 27 ) break;\r\n  }\r\n\tcvReleaseCapture( &capture );\r\n}\r\n<\/pre>\n
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\u3061\u3087\u3046\u3069\u3001\u99d2\u3068\u540c\u3058\u30b5\u30a4\u30ba\uff0830×30\uff09\u306e\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u3092\u7528\u610f\u3057\u3066\u3001\u753b\u9762\u4e0a\u3092\u63a2\u7d22\u3057\u307e\u3059\u3002
\n\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u30de\u30c3\u30c1\u30f3\u30b0\u3092\u3057\u305f\u3068\u304d\u306f\u3001cv::minMaxLoc \u3067\u6700\u5927\u306e\u30b9\u30b3\u30a2\u3092\u53d6\u5f97\u3059\u308b\u306e\u3067\u3059\u304c\u3001\u6700\u5927\u3060\u30681\u3064\u3057\u304b\u53d6\u308c\u306a\u3044\u306e\u3067\u300150 \u56de\u3050\u3089\u3044\u7e70\u308a\u8fd4\u3057\u307e\u3059\u3002\u95be\u5024\u306e\u300c0.5\u300d\u306f\u9069\u5f53\u306b\u6c7a\u3081\u305f\u3082\u306e\u3067\u3059\u3002<\/p>\n
\u3072\u3068\u3064\u306e\u99d2\u3060\u3051\u691c\u51fa\u3059\u308b\u306a\u3089\u3070\u3001\u305d\u3053\u305d\u3053\u306e\u30b9\u30d4\u30fc\u30c9\u3067\u52d5\u304f\u306e\u3067\u3059\u304c\u3001\u3053\u308c\u3092\u5168\u3066\u306e\u99d2\uff08\u4eca\u56de\u306f7\u7a2e\u985e\uff09\u306b\u5bfe\u3057\u3066\u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u30de\u30c3\u30c1\u30f3\u30b0\u3092\u3059\u308b\u3068\u3001\u3048\u3048\u3001\u5927\u5909\u9045\u3044\u3067\u3059\u306d\uff08\u82e6\u7b11\uff09\u3002<\/p>\n
\r\n#include <iostream>\r\n#include <opencv2\/core\/core.hpp>\r\n#include <opencv2\/imgproc\/imgproc.hpp>\r\n#include <opencv2\/highgui\/highgui.hpp>\r\n\r\nint\r\nmain(int argc, char *argv[])\r\n{\r\n\tCvCapture *capture = cvCreateCameraCapture(0);\r\n\r\n\t\/\/ \u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u753b\u50cf\r\n\tcv::Mat tmp_imgs[7];\r\n\ttmp_imgs[0] = cv::imread(&quot;mini\\\\koma01.png&quot;, 1);\r\n\ttmp_imgs[1] = cv::imread(&quot;mini\\\\koma02.png&quot;, 1);\r\n\ttmp_imgs[2] = cv::imread(&quot;mini\\\\koma03.png&quot;, 1);\r\n\ttmp_imgs[3] = cv::imread(&quot;mini\\\\koma04.png&quot;, 1);\r\n\ttmp_imgs[4] = cv::imread(&quot;mini\\\\koma05.png&quot;, 1);\r\n\ttmp_imgs[5] = cv::imread(&quot;mini\\\\koma06.png&quot;, 1);\r\n\ttmp_imgs[6] = cv::imread(&quot;mini\\\\koma07.png&quot;, 1);\r\n\t\/\/ \u67a0\u7dda\u306e\u8272\r\n\tcv::Scalar cols[6];\r\n\tcols[0] = cv::Scalar(0,0,255);\r\n\tcols[1] = cv::Scalar(0,255,0);\r\n\tcols[2] = cv::Scalar(255,0,0);\r\n\tcols[3] = cv::Scalar(255,0,255);\r\n\tcols[4] = cv::Scalar(255,255,0);\r\n\tcols[5] = cv::Scalar(255,255,255);\r\n\tcols[6] = cv::Scalar(100,100,100);\r\n\r\n  \tcv::namedWindow(&quot;search image&quot;, CV_WINDOW_AUTOSIZE|CV_WINDOW_FREERATIO);\r\n\twhile ( 1 ) {\r\n\r\n  \t\t\/\/ \u63a2\u7d22\u753b\u50cf\r\n  \t\tcv::Mat search_img0 = cvQueryFrame( capture );\r\n  \t\tcv::Mat search_img;\r\n  \t\tsearch_img0.copyTo( search_img );\r\n\r\n\t\tfor ( int j=0; j<7; j++ ) {\r\n\t\t\tcv::Mat &tmp_img =  tmp_imgs[j];\r\n\t\t    cv::Mat result_img;\r\n\t\t\t\/\/ 50 \u500b\u691c\u51fa\u3059\u308b\r\n\t\t  \tfor ( int i=0; i<50; i++ ) {\r\n\t\t\t\t  \/\/ \u30c6\u30f3\u30d7\u30ec\u30fc\u30c8\u30de\u30c3\u30c1\u30f3\u30b0\r\n\t\t\t\t  \/\/ cv::matchTemplate(search_img, tmp_img, result_img, CV_TM_SQDIFF_NORMED);\r\n\t\t\t\t  cv::matchTemplate(search_img, tmp_img, result_img, CV_TM_CCOEFF_NORMED);\r\n\t\t\t\t  \/\/ \u6700\u5927\u306e\u30b9\u30b3\u30a2\u306e\u5834\u6240\u3092\u63a2\u3059\r\n\t\t\t\t  cv::Rect roi_rect(0, 0, tmp_img.cols, tmp_img.rows);\r\n\t\t\t\t  cv::Point max_pt;\r\n\t\t\t\t  double maxVal;\r\n\t\t\t\t  cv::minMaxLoc(result_img, NULL, &maxVal, NULL, &max_pt);\r\n\t\t\t\t  \/\/ \u4e00\u5b9a\u30b9\u30b3\u30a2\u4ee5\u4e0b\u306e\u5834\u5408\u306f\u51e6\u7406\u7d42\u4e86\r\n\t\t\t\t  if ( maxVal < 0.5 ) break;\r\n\r\n\t\t\t\t  roi_rect.x = max_pt.x;\r\n\t\t\t\t  roi_rect.y = max_pt.y;\r\n\t\t\t\t  std::cout << &quot;(&quot; << max_pt.x << &quot;, &quot; << max_pt.y << &quot;), score=&quot; << maxVal << std::endl;\r\n\t\t\t\t  \/\/ \u63a2\u7d22\u7d50\u679c\u306e\u5834\u6240\u306b\u77e9\u5f62\u3092\u63cf\u753b\r\n\t\t\t\t  cv::rectangle(search_img0, roi_rect, cols[j], 3);\r\n\t\t\t\t  cv::rectangle(search_img, roi_rect, cv::Scalar(0,0,255), CV_FILLED);\r\n\t\t\t}\r\n\t\t}\r\n\r\n  \t\tcv::imshow(&quot;search image&quot;, search_img0);\r\n  \t\tchar ch = cv::waitKey(33);\r\n\t\tif ( ch == 27 ) break;\r\n  }\r\n\tcvReleaseCapture( &capture );\r\n}\r\n<\/pre>\n
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  2. \u76e4\u9762\u304b\u3089\u3001\u99d2\u304c\u3042\u308b\u3067\u3042\u308d\u3046\u5834\u6240\u3092\u691c\u51fa<\/li>\n
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    \u3068\u3044\u3046\u30ed\u30b8\u30c3\u30af\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n
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    \u753b\u50cf\u51e6\u7406 – OpenCV-CookBook
    \n    http:\/\/opencv.jp\/cookbook\/opencv_img.html#id32<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
    \u30d7\u30c1\u30ed\u30dc\u4e8b\u59cb\u3081 | Moonmile Solutions Blog http:\/\/www.moonmile.net\/blog\/archives\/2416 \u30d7\u30c1\u30ed\u30dc\u3067\uff14\u8ef8\u69cb\u6210\u306b\u3057\u3066\u307f\u308b | Moonmile Solutio … \u7d9a\u304d\u3092\u8aad\u3080 →<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[22,34],"tags":[],"class_list":["post-2468","post","type-post","status-publish","format-standard","hentry","category-c","category-34"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"http:\/\/www.moonmile.net\/blog\/wp-json\/wp\/v2\/posts\/2468","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.moonmile.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.moonmile.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.moonmile.net\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/www.moonmile.net\/blog\/wp-json\/wp\/v2\/comments?post=2468"}],"version-history":[{"count":1,"href":"http:\/\/www.moonmile.net\/blog\/wp-json\/wp\/v2\/posts\/2468\/revisions"}],"predecessor-version":[{"id":2469,"href":"http:\/\/www.moonmile.net\/blog\/wp-json\/wp\/v2\/posts\/2468\/revisions\/2469"}],"wp:attachment":[{"href":"http:\/\/www.moonmile.net\/blog\/wp-json\/wp\/v2\/media?parent=2468"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.moonmile.net\/blog\/wp-json\/wp\/v2\/categories?post=2468"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.moonmile.net\/blog\/wp-json\/wp\/v2\/tags?post=2468"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}