{"id":118836,"date":"2024-03-23T16:07:13","date_gmt":"2024-03-23T07:07:13","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/python-%e7%94%bb%e5%83%8f%e3%82%bb%e3%82%b0%e3%83%a1%e3%83%b3%e3%83%86%e3%83%bc%e3%82%b7%e3%83%a7%e3%83%b3-%e3%82%a2%e3%83%ab%e3%82%b4%e3%83%aa%e3%82%ba%e3%83%a0%e3%81%ae%e4%bd%bf%e7%94%a8%e6%96%b9\/"},"modified":"2024-04-05T16:22:06","modified_gmt":"2024-04-05T07:22:06","slug":"python-%e7%94%bb%e5%83%8f%e3%82%bb%e3%82%b0%e3%83%a1%e3%83%b3%e3%83%86%e3%83%bc%e3%82%b7%e3%83%a7%e3%83%b3-%e3%82%a2%e3%83%ab%e3%82%b4%e3%83%aa%e3%82%ba%e3%83%a0%e3%81%ae%e4%bd%bf%e7%94%a8%e6%96%b9","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/python-%e7%94%bb%e5%83%8f%e3%82%bb%e3%82%b0%e3%83%a1%e3%83%b3%e3%83%86%e3%83%bc%e3%82%b7%e3%83%a7%e3%83%b3-%e3%82%a2%e3%83%ab%e3%82%b4%e3%83%aa%e3%82%ba%e3%83%a0%e3%81%ae%e4%bd%bf%e7%94%a8%e6%96%b9\/","title":{"rendered":"Python \u753b\u50cf\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u4f7f\u7528\u65b9\u6cd5"},"content":{"rendered":"<p>Python\u3067\u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u308b\u30a4\u30e1\u30fc\u30b8\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u306f\u3001\u95be\u5024\u30d9\u30fc\u30b9\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3001\u30a8\u30c3\u30b8\u30d9\u30fc\u30b9\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3001\u9818\u57df\u30d9\u30fc\u30b9\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u3042\u308a\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u306f\u3001\u3053\u308c\u3089\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u4f7f\u7528\u3057\u3066\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u3092\u884c\u3046\u65b9\u6cd5\u3092\u793a\u3057\u307e\u3059\u3002<\/p>\n<ol>\n<li>\u95be\u5024\u306b\u57fa\u3065\u304f\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\uff08\u30d0\u30a4\u30ca\u30e9\u30a4\u30bc\u30fc\u30b7\u30e7\u30f3\uff09<\/li>\n<\/ol>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">import<\/span> cv2\r\n<span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">threshold_segmentation<\/span>(<span class=\"hljs-params\">image, threshold<\/span>):\r\ngray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\r\n_, binary = cv2.threshold(gray, threshold, <span class=\"hljs-number\">255<\/span>, cv2.THRESH_BINARY)\r\n<span class=\"hljs-keyword\">return<\/span> binary\r\nimage = cv2.imread(<span class=\"hljs-string\">'image.jpg'<\/span>)\r\nthreshold = <span class=\"hljs-number\">127<\/span>\r\nsegmented_image = threshold_segmentation(image, threshold)\r\ncv2.imshow(<span class=\"hljs-string\">'Segmented Image'<\/span>, segmented_image)\r\ncv2.waitKey(<span class=\"hljs-number\">0<\/span>)\r\ncv2.destroyAllWindows()\r\n<\/code><\/pre>\n<ol>\n<li>\u30a8\u30c3\u30b8\u30d9\u30fc\u30b9\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\uff08Canny\u30a8\u30c3\u30b8\u691c\u51fa\uff09<\/li>\n<\/ol>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">import<\/span> cv2\r\n<span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">edge_segmentation<\/span>(<span class=\"hljs-params\">image, min_threshold, max_threshold<\/span>):\r\ngray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\r\nedges = cv2.Canny(gray, min_threshold, max_threshold)\r\n<span class=\"hljs-keyword\">return<\/span> edges\r\nimage = cv2.imread(<span class=\"hljs-string\">'image.jpg'<\/span>)\r\nmin_threshold = <span class=\"hljs-number\">100<\/span>\r\nmax_threshold = <span class=\"hljs-number\">200<\/span>\r\nsegmented_image = edge_segmentation(image, min_threshold, max_threshold)\r\ncv2.imshow(<span class=\"hljs-string\">'Segmented Image'<\/span>, segmented_image)\r\ncv2.waitKey(<span class=\"hljs-number\">0<\/span>)\r\ncv2.destroyAllWindows()\r\n<\/code><\/pre>\n<ol>\n<li>\u9818\u57df\u30d9\u30fc\u30b9\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\uff08Felzenszwalb\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\uff09<\/li>\n<\/ol>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">import<\/span> cv2\r\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\r\n<span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">region_segmentation<\/span>(<span class=\"hljs-params\">image, scale, min_size<\/span>):\r\nsegments = cv2.ximgproc.segmentation.createGraphSegmentation()\r\nsegments.setSigma(<span class=\"hljs-number\">0.5<\/span>)\r\nsegments.setK(<span class=\"hljs-number\">500<\/span>)\r\nsegments.processImage(image)\r\nresult = segments.createSuperpixelMask()\r\n<span class=\"hljs-keyword\">return<\/span> result\r\nimage = cv2.imread(<span class=\"hljs-string\">'image.jpg'<\/span>)\r\nscale = <span class=\"hljs-number\">0.1<\/span>\r\nmin_size = <span class=\"hljs-number\">100<\/span>\r\nsegmented_image = region_segmentation(image, scale, min_size)\r\ncv2.imshow(<span class=\"hljs-string\">'Segmented Image'<\/span>, segmented_image)\r\ncv2.waitKey(<span class=\"hljs-number\">0<\/span>)\r\ncv2.destroyAllWindows()\r\n<\/code><\/pre>\n<p>\u306a\u304a\u3001\u4e0a\u8a18\u306e\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3067\u306f\u3001image.jpg\u306f\u5206\u5272\u51e6\u7406\u3092\u884c\u3044\u305f\u3044\u753b\u50cf\u30d5\u30a1\u30a4\u30eb\u540d\u3067\u3059\u306e\u3067\u3001\u5b9f\u969b\u306e\u74b0\u5883\u306b\u5408\u308f\u305b\u3066\u5909\u66f4\u3057\u3066\u304f\u3060\u3055\u3044\u3002\u307e\u305f\u3001OpenCV\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u304c\u5fc5\u8981\u3067\u3059\u306e\u3067\u3001pip install opencv-python\u30b3\u30de\u30f3\u30c9\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3092\u884c\u3063\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Python\u3067\u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u308b\u30a4\u30e1\u30fc\u30b8\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u306f\u3001\u95be\u5024\u30d9\u30fc\u30b9\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3001\u30a8\u30c3\u30b8\u30d9\u30fc\u30b9\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3001\u9818\u57df\u30d9\u30fc\u30b9\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u3042\u308a\u307e\u3059\u3002 [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-118836","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python \u753b\u50cf\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u4f7f\u7528\u65b9\u6cd5 - Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/ja\/blog\/python-\u753b\u50cf\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3-\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u4f7f\u7528\u65b9\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python \u753b\u50cf\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u4f7f\u7528\u65b9\u6cd5\" \/>\n<meta property=\"og:description\" content=\"Python\u3067\u4e00\u822c\u7684\u306b\u4f7f\u7528\u3055\u308c\u308b\u30a4\u30e1\u30fc\u30b8\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u306f\u3001\u95be\u5024\u30d9\u30fc\u30b9\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3001\u30a8\u30c3\u30b8\u30d9\u30fc\u30b9\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3001\u9818\u57df\u30d9\u30fc\u30b9\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u3042\u308a\u307e\u3059\u3002 [&hellip;]\" \/>\n<meta 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