Canny Kenar Alg\u0131lama: Detayl\u0131 Anlat\u0131m<\/title> \n<\/head> \n<body><\/p>\nCanny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m<\/p>\nG\u00f6r\u00fcnt\u00fc i\u015fleme alan\u0131nda, kenar alg\u0131lama olduk\u00e7a \u00f6nemli bir konudur. Nesne tan\u0131ma, nesne takibi ve g\u00f6r\u00fcnt\u00fc segmentasyonu gibi bir\u00e7ok uygulamada temel bir ad\u0131m olarak kullan\u0131l\u0131r. Canny kenar alg\u0131lama y\u00f6ntemi, John F. Canny taraf\u0131ndan 1986 y\u0131l\u0131nda geli\u015ftirilmi\u015f ve g\u00fcn\u00fcm\u00fczde hala en pop\u00fcler ve etkili kenar alg\u0131lama tekniklerinden biridir. Bu y\u00f6ntem, g\u00fcr\u00fclt\u00fcy\u00fc bast\u0131rma, ince kenarlar\u0131n tespit edilmesi ve tek bir kenar\u0131n \u00e7oklu tespitini \u00f6nleme gibi \u00f6zellikleri ile \u00f6ne \u00e7\u0131kar. Bu makalede, Canny kenar alg\u0131laman\u0131n ad\u0131mlar\u0131n\u0131, temel prensiplerini ve uygulamalar\u0131n\u0131 detayl\u0131 bir \u015fekilde inceleyece\u011fiz.<\/p>\n<h2>Canny Kenar Alg\u0131laman\u0131n Ad\u0131mlar\u0131<\/h2>\nCanny kenar alg\u0131lama algoritmas\u0131 be\u015f ana ad\u0131mdan olu\u015fur:<\/p>\n<ol>\n<li>G\u00fcr\u00fclt\u00fc Azaltma:<\/strong> G\u00f6r\u00fcnt\u00fcdeki g\u00fcr\u00fclt\u00fc, kenar tespitini olumsuz etkiler. Bu nedenle, ilk ad\u0131m olarak Gauss bulan\u0131kla\u015ft\u0131rma filtresi uygulan\u0131r. Bu filtre, g\u00f6r\u00fcnt\u00fcdeki g\u00fcr\u00fclt\u00fcy\u00fc azalt\u0131rken, kenarlar\u0131n \u015feklini de korur. <a href=\"https:\/\/fatihsoysal.com\">fatihsoysal.com<\/a> sitesinden daha fazla bilgi edinebilirsiniz.<\/li>\n<li>Gradyan Hesaplama:<\/strong> Bulan\u0131kla\u015ft\u0131r\u0131lm\u0131\u015f g\u00f6r\u00fcnt\u00fcye, Sobel veya Prewitt gibi gradyan operat\u00f6rleri uygulanarak, her pikselin yatay ve dikey gradyanlar\u0131 hesaplan\u0131r. Bu gradyanlar, kenarlar\u0131n y\u00f6n\u00fcn\u00fc ve g\u00fcc\u00fcn\u00fc belirler. Sonras\u0131nda, her piksel i\u00e7in gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fc ve y\u00f6n\u00fc hesaplan\u0131r.<\/li>\n<li>Gradyan Y\u00f6n\u00fc Bast\u0131rma:<\/strong> Bu ad\u0131mda, her pikselin gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fc, kom\u015fular\u0131yla kar\u015f\u0131la\u015ft\u0131r\u0131l\u0131r. E\u011fer bir pikselin gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fc, kom\u015fular\u0131n\u0131n gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fcnden daha b\u00fcy\u00fck de\u011filse, o pikselin gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fc bast\u0131r\u0131l\u0131r (s\u0131f\u0131ra indirilir). Bu i\u015flem, yaln\u0131zca g\u00fc\u00e7l\u00fc kenarlar\u0131 korur ve ince kenarlar\u0131n tespitini sa\u011flar.<\/li>\n<li>E\u015fikleme (Thresholding):<\/strong> Gradyan y\u00f6n\u00fc bast\u0131rma i\u015fleminden sonra, bir \u00fcst ve bir alt e\u015fik de\u011feri belirlenir. Gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fc \u00fcst e\u015fik de\u011ferinden b\u00fcy\u00fck olan pikseller kesinlikle kenar olarak kabul edilir. Gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fc alt e\u015fik de\u011ferinden k\u00fc\u00e7\u00fck olan pikseller ise kenar olarak kabul edilmez. Alt ve \u00fcst e\u015fik aras\u0131nda kalan pikseller ise, kom\u015fular\u0131na ba\u011fl\u0131 olarak kenar olarak kabul edilir ya da edilmez. Bu, ba\u011flant\u0131l\u0131 kenarlar\u0131n bulunmas\u0131na yard\u0131mc\u0131 olur.<\/li>\n<li>Kenar Ba\u011flant\u0131s\u0131 (Edge Tracking):<\/strong> Son ad\u0131mda, e\u015fikleme i\u015fleminden sonra kalan pikseller, ba\u011flant\u0131l\u0131 kenarlar\u0131 olu\u015fturmak i\u00e7in birle\u015ftirilir. Bu i\u015flem, kesik kenar par\u00e7alar\u0131n\u0131 birle\u015ftirir ve daha sa\u011flam kenarlar olu\u015fturur.<\/li>\n<\/ol>\n<img decoding=\"async\" src=\"canny_edge_detection_diagram.png\" alt=\"Canny Kenar Alg\u0131lama Diyagram\u0131\"> <\/p>\n<h2>Canny Kenar Alg\u0131laman\u0131n Avantajlar\u0131 ve Dezavantajlar\u0131<\/h2>\nAvantajlar\u0131:<\/strong><\/p>\n<ul>\n<li>G\u00fcr\u00fclt\u00fcye kar\u015f\u0131 dayan\u0131kl\u0131d\u0131r.<\/li>\n<li>\u0130nce kenarlar\u0131 do\u011fru bir \u015fekilde tespit eder.<\/li>\n<li>Tek bir kenar\u0131 birden fazla kez tespit etmez.<\/li>\n<li>Uygulamas\u0131 nispeten kolayd\u0131r.<\/li>\n<\/ul>\nDezavantajlar\u0131:<\/strong><\/p>\n<ul>\n<li>Hesaplama maliyeti y\u00fcksek olabilir, \u00f6zellikle b\u00fcy\u00fck g\u00f6r\u00fcnt\u00fcler i\u00e7in.<\/li>\n<li>E\u015fik de\u011ferlerinin se\u00e7imi, sonu\u00e7lar\u0131 etkiler. Uygun e\u015fik de\u011ferlerinin belirlenmesi deneyim ve ince ayar gerektirir.<\/li>\n<li>\u00c7ok karma\u015f\u0131k g\u00f6r\u00fcnt\u00fclerde baz\u0131 kenarlar\u0131 ka\u00e7\u0131rabilir.<\/li>\n<\/ul>\n<h2>Uygulamalar<\/h2>\nCanny kenar alg\u0131lama y\u00f6ntemi, bir\u00e7ok farkl\u0131 alanda kullan\u0131l\u0131r. \u00d6rnek olarak:<\/p>\n<ul>\n<li>Nesne tan\u0131ma:<\/strong> G\u00f6r\u00fcnt\u00fclerdeki nesnelerin kenarlar\u0131n\u0131 tespit etmek i\u00e7in kullan\u0131l\u0131r.<\/li>\n<li>G\u00f6r\u00fcnt\u00fc segmentasyonu:<\/strong> G\u00f6r\u00fcnt\u00fcleri farkl\u0131 b\u00f6lgelere ay\u0131rmak i\u00e7in kullan\u0131l\u0131r.<\/li>\n<li>T\u0131bbi g\u00f6r\u00fcnt\u00fcleme:<\/strong> T\u0131bbi g\u00f6r\u00fcnt\u00fclerdeki \u00f6nemli yap\u0131lar\u0131n kenarlar\u0131n\u0131 tespit etmek i\u00e7in kullan\u0131l\u0131r.<\/li>\n<li>Otonom s\u00fcr\u00fc\u015f:<\/strong> \u00c7evreyi alg\u0131lamak ve yol \u00e7izgilerini tespit etmek i\u00e7in kullan\u0131l\u0131r.<\/li>\n<\/ul>\nSonu\u00e7 olarak, Canny kenar alg\u0131lama, g\u00fcr\u00fclt\u00fcl\u00fc g\u00f6r\u00fcnt\u00fclerde bile g\u00fc\u00e7l\u00fc ve ince kenarlar\u0131 tespit etmede olduk\u00e7a etkili bir y\u00f6ntemdir. Ancak, hesaplama maliyeti ve e\u015fik de\u011ferlerinin belirlenmesindeki zorluklar gibi dezavantajlar\u0131 da g\u00f6z \u00f6n\u00fcnde bulundurulmal\u0131d\u0131r. Bu makalede, Canny kenar alg\u0131lama algoritmas\u0131n\u0131n detaylar\u0131n\u0131, avantajlar\u0131n\u0131, dezavantajlar\u0131n\u0131 ve uygulamalar\u0131n\u0131 ele ald\u0131k. Umar\u0131m faydal\u0131 olmu\u015ftur.<\/p>\nDaha fazla bilgi i\u00e7in, <a href=\"https:\/\/dev.to\/catheryn\/canny-edge-detection-3h4l\">bu \u0130ngilizce makaleye<\/a> g\u00f6z atabilirsiniz.<\/p>\nFatih Soysal<\/strong><\/p>\n#Etiketler: Canny Kenar Alg\u0131lama, G\u00f6r\u00fcnt\u00fc \u0130\u015fleme, Kenar Alg\u0131lama, Gauss Bulan\u0131kla\u015ft\u0131rma, Gradyan, E\u015fikleme, Kenar Ba\u011flant\u0131s\u0131, Nesne Tan\u0131ma, G\u00f6r\u00fcnt\u00fc Segmentasyonu, Algoritma \n<\/body> \n<\/html> \n“`<\/p>\n","protected":false},"excerpt":{"rendered":"“`html Canny Kenar Alg\u0131lama: Detayl\u0131 Anlat\u0131m Canny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m G\u00f6r\u00fcnt\u00fc i\u015fleme alan\u0131nda, kenar alg\u0131lama olduk\u00e7a…","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-4268","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n<title>Canny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m<\/title>\n<meta name=\"description\" content=\"G\u00f6r\u00fcnt\u00fc i\u015fleme alan\u0131nda, kenar alg\u0131lama olduk\u00e7a \u00f6nemli bir konudur. Nesne tan\u0131ma, nesne takibi ve g\u00f6r\u00fcnt\u00fc segmentasyonu gibi bir\u00e7ok uygulamada temel bir ad\u0131m olarak kullan\u0131l\u0131r. Canny kenar alg\u0131lama y\u00f6ntemi, John F. Canny taraf\u0131ndan 1986 y\u0131l\u0131nda geli\u015ftirilmi\u015f ve g\u00fcn\u00fcm\u00fczde hala en pop\u00fcler ve etkili kenar alg\u0131lama tekniklerinden biridir. Bu y\u00f6ntem, g\u00fcr\u00fclt\u00fcy\u00fc bast\u0131rma, ince kenarlar\u0131n tespit edilmesi ve tek bir kenar\u0131n \u00e7oklu tespitini \u00f6nleme gibi \u00f6zellikleri ile \u00f6ne \u00e7\u0131kar. Bu makalede, Canny kenar alg\u0131laman\u0131n ad\u0131mlar\u0131n\u0131, temel prensiplerini ve uygulamalar\u0131n\u0131 detayl\u0131 bir \u015fekilde inceleyece\u011fiz.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Canny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m\" \/>\n<meta property=\"og:description\" content=\"G\u00f6r\u00fcnt\u00fc i\u015fleme alan\u0131nda, kenar alg\u0131lama olduk\u00e7a \u00f6nemli bir konudur. Nesne tan\u0131ma, nesne takibi ve g\u00f6r\u00fcnt\u00fc segmentasyonu gibi bir\u00e7ok uygulamada temel bir ad\u0131m olarak kullan\u0131l\u0131r. Canny kenar alg\u0131lama y\u00f6ntemi, John F. Canny taraf\u0131ndan 1986 y\u0131l\u0131nda geli\u015ftirilmi\u015f ve g\u00fcn\u00fcm\u00fczde hala en pop\u00fcler ve etkili kenar alg\u0131lama tekniklerinden biridir. Bu y\u00f6ntem, g\u00fcr\u00fclt\u00fcy\u00fc bast\u0131rma, ince kenarlar\u0131n tespit edilmesi ve tek bir kenar\u0131n \u00e7oklu tespitini \u00f6nleme gibi \u00f6zellikleri ile \u00f6ne \u00e7\u0131kar. Bu makalede, Canny kenar alg\u0131laman\u0131n ad\u0131mlar\u0131n\u0131, temel prensiplerini ve uygulamalar\u0131n\u0131 detayl\u0131 bir \u015fekilde inceleyece\u011fiz.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2024-11-19T03:00:32+00:00\" \/>\n<meta name=\"author\" content=\"Fatih Soysal\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fatih Soysal\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"Canny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m\",\"datePublished\":\"2024-11-19T03:00:32+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/\"},\"wordCount\":772,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/#respond\"]}],\"copyrightYear\":\"2024\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/\",\"name\":\"Canny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2024-11-19T03:00:32+00:00\",\"description\":\"G\u00f6r\u00fcnt\u00fc i\u015fleme alan\u0131nda, kenar alg\u0131lama olduk\u00e7a \u00f6nemli bir konudur. Nesne tan\u0131ma, nesne takibi ve g\u00f6r\u00fcnt\u00fc segmentasyonu gibi bir\u00e7ok uygulamada temel bir ad\u0131m olarak kullan\u0131l\u0131r. Canny kenar alg\u0131lama y\u00f6ntemi, John F. Canny taraf\u0131ndan 1986 y\u0131l\u0131nda geli\u015ftirilmi\u015f ve g\u00fcn\u00fcm\u00fczde hala en pop\u00fcler ve etkili kenar alg\u0131lama tekniklerinden biridir. Bu y\u00f6ntem, g\u00fcr\u00fclt\u00fcy\u00fc bast\u0131rma, ince kenarlar\u0131n tespit edilmesi ve tek bir kenar\u0131n \u00e7oklu tespitini \u00f6nleme gibi \u00f6zellikleri ile \u00f6ne \u00e7\u0131kar. 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Nesne tan\u0131ma, nesne takibi ve g\u00f6r\u00fcnt\u00fc segmentasyonu gibi bir\u00e7ok uygulamada temel bir ad\u0131m olarak kullan\u0131l\u0131r. Canny kenar alg\u0131lama y\u00f6ntemi, John F. Canny taraf\u0131ndan 1986 y\u0131l\u0131nda geli\u015ftirilmi\u015f ve g\u00fcn\u00fcm\u00fczde hala en pop\u00fcler ve etkili kenar alg\u0131lama tekniklerinden biridir. Bu y\u00f6ntem, g\u00fcr\u00fclt\u00fcy\u00fc bast\u0131rma, ince kenarlar\u0131n tespit edilmesi ve tek bir kenar\u0131n \u00e7oklu tespitini \u00f6nleme gibi \u00f6zellikleri ile \u00f6ne \u00e7\u0131kar. Bu makalede, Canny kenar alg\u0131laman\u0131n ad\u0131mlar\u0131n\u0131, temel prensiplerini ve uygulamalar\u0131n\u0131 detayl\u0131 bir \u015fekilde inceleyece\u011fiz.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/","og_locale":"tr_TR","og_type":"article","og_title":"Canny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m","og_description":"G\u00f6r\u00fcnt\u00fc i\u015fleme alan\u0131nda, kenar alg\u0131lama olduk\u00e7a \u00f6nemli bir konudur. Nesne tan\u0131ma, nesne takibi ve g\u00f6r\u00fcnt\u00fc segmentasyonu gibi bir\u00e7ok uygulamada temel bir ad\u0131m olarak kullan\u0131l\u0131r. Canny kenar alg\u0131lama y\u00f6ntemi, John F. 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{"id":4268,"date":"2024-11-19T06:00:32","date_gmt":"2024-11-19T03:00:32","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/"},"modified":"2024-11-19T06:00:32","modified_gmt":"2024-11-19T03:00:32","slug":"canny-kenar-algilama-detayli-bir-anlatim","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/","title":{"rendered":"Canny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m"},"content":{"rendered":"

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\n Canny Kenar Alg\u0131lama: Detayl\u0131 Anlat\u0131m<\/title> \n<\/head> \n<body><\/p>\nCanny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m<\/p>\nG\u00f6r\u00fcnt\u00fc i\u015fleme alan\u0131nda, kenar alg\u0131lama olduk\u00e7a \u00f6nemli bir konudur. Nesne tan\u0131ma, nesne takibi ve g\u00f6r\u00fcnt\u00fc segmentasyonu gibi bir\u00e7ok uygulamada temel bir ad\u0131m olarak kullan\u0131l\u0131r. Canny kenar alg\u0131lama y\u00f6ntemi, John F. Canny taraf\u0131ndan 1986 y\u0131l\u0131nda geli\u015ftirilmi\u015f ve g\u00fcn\u00fcm\u00fczde hala en pop\u00fcler ve etkili kenar alg\u0131lama tekniklerinden biridir. Bu y\u00f6ntem, g\u00fcr\u00fclt\u00fcy\u00fc bast\u0131rma, ince kenarlar\u0131n tespit edilmesi ve tek bir kenar\u0131n \u00e7oklu tespitini \u00f6nleme gibi \u00f6zellikleri ile \u00f6ne \u00e7\u0131kar. Bu makalede, Canny kenar alg\u0131laman\u0131n ad\u0131mlar\u0131n\u0131, temel prensiplerini ve uygulamalar\u0131n\u0131 detayl\u0131 bir \u015fekilde inceleyece\u011fiz.<\/p>\n<h2>Canny Kenar Alg\u0131laman\u0131n Ad\u0131mlar\u0131<\/h2>\nCanny kenar alg\u0131lama algoritmas\u0131 be\u015f ana ad\u0131mdan olu\u015fur:<\/p>\n<ol>\n<li>G\u00fcr\u00fclt\u00fc Azaltma:<\/strong> G\u00f6r\u00fcnt\u00fcdeki g\u00fcr\u00fclt\u00fc, kenar tespitini olumsuz etkiler. Bu nedenle, ilk ad\u0131m olarak Gauss bulan\u0131kla\u015ft\u0131rma filtresi uygulan\u0131r. Bu filtre, g\u00f6r\u00fcnt\u00fcdeki g\u00fcr\u00fclt\u00fcy\u00fc azalt\u0131rken, kenarlar\u0131n \u015feklini de korur. <a href=\"https:\/\/fatihsoysal.com\">fatihsoysal.com<\/a> sitesinden daha fazla bilgi edinebilirsiniz.<\/li>\n<li>Gradyan Hesaplama:<\/strong> Bulan\u0131kla\u015ft\u0131r\u0131lm\u0131\u015f g\u00f6r\u00fcnt\u00fcye, Sobel veya Prewitt gibi gradyan operat\u00f6rleri uygulanarak, her pikselin yatay ve dikey gradyanlar\u0131 hesaplan\u0131r. Bu gradyanlar, kenarlar\u0131n y\u00f6n\u00fcn\u00fc ve g\u00fcc\u00fcn\u00fc belirler. Sonras\u0131nda, her piksel i\u00e7in gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fc ve y\u00f6n\u00fc hesaplan\u0131r.<\/li>\n<li>Gradyan Y\u00f6n\u00fc Bast\u0131rma:<\/strong> Bu ad\u0131mda, her pikselin gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fc, kom\u015fular\u0131yla kar\u015f\u0131la\u015ft\u0131r\u0131l\u0131r. E\u011fer bir pikselin gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fc, kom\u015fular\u0131n\u0131n gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fcnden daha b\u00fcy\u00fck de\u011filse, o pikselin gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fc bast\u0131r\u0131l\u0131r (s\u0131f\u0131ra indirilir). Bu i\u015flem, yaln\u0131zca g\u00fc\u00e7l\u00fc kenarlar\u0131 korur ve ince kenarlar\u0131n tespitini sa\u011flar.<\/li>\n<li>E\u015fikleme (Thresholding):<\/strong> Gradyan y\u00f6n\u00fc bast\u0131rma i\u015fleminden sonra, bir \u00fcst ve bir alt e\u015fik de\u011feri belirlenir. Gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fc \u00fcst e\u015fik de\u011ferinden b\u00fcy\u00fck olan pikseller kesinlikle kenar olarak kabul edilir. Gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fc alt e\u015fik de\u011ferinden k\u00fc\u00e7\u00fck olan pikseller ise kenar olarak kabul edilmez. Alt ve \u00fcst e\u015fik aras\u0131nda kalan pikseller ise, kom\u015fular\u0131na ba\u011fl\u0131 olarak kenar olarak kabul edilir ya da edilmez. Bu, ba\u011flant\u0131l\u0131 kenarlar\u0131n bulunmas\u0131na yard\u0131mc\u0131 olur.<\/li>\n<li>Kenar Ba\u011flant\u0131s\u0131 (Edge Tracking):<\/strong> Son ad\u0131mda, e\u015fikleme i\u015fleminden sonra kalan pikseller, ba\u011flant\u0131l\u0131 kenarlar\u0131 olu\u015fturmak i\u00e7in birle\u015ftirilir. Bu i\u015flem, kesik kenar par\u00e7alar\u0131n\u0131 birle\u015ftirir ve daha sa\u011flam kenarlar olu\u015fturur.<\/li>\n<\/ol>\n<img decoding=\"async\" src=\"canny_edge_detection_diagram.png\" alt=\"Canny Kenar Alg\u0131lama Diyagram\u0131\"> <\/p>\n<h2>Canny Kenar Alg\u0131laman\u0131n Avantajlar\u0131 ve Dezavantajlar\u0131<\/h2>\nAvantajlar\u0131:<\/strong><\/p>\n<ul>\n<li>G\u00fcr\u00fclt\u00fcye kar\u015f\u0131 dayan\u0131kl\u0131d\u0131r.<\/li>\n<li>\u0130nce kenarlar\u0131 do\u011fru bir \u015fekilde tespit eder.<\/li>\n<li>Tek bir kenar\u0131 birden fazla kez tespit etmez.<\/li>\n<li>Uygulamas\u0131 nispeten kolayd\u0131r.<\/li>\n<\/ul>\nDezavantajlar\u0131:<\/strong><\/p>\n<ul>\n<li>Hesaplama maliyeti y\u00fcksek olabilir, \u00f6zellikle b\u00fcy\u00fck g\u00f6r\u00fcnt\u00fcler i\u00e7in.<\/li>\n<li>E\u015fik de\u011ferlerinin se\u00e7imi, sonu\u00e7lar\u0131 etkiler. Uygun e\u015fik de\u011ferlerinin belirlenmesi deneyim ve ince ayar gerektirir.<\/li>\n<li>\u00c7ok karma\u015f\u0131k g\u00f6r\u00fcnt\u00fclerde baz\u0131 kenarlar\u0131 ka\u00e7\u0131rabilir.<\/li>\n<\/ul>\n<h2>Uygulamalar<\/h2>\nCanny kenar alg\u0131lama y\u00f6ntemi, bir\u00e7ok farkl\u0131 alanda kullan\u0131l\u0131r. \u00d6rnek olarak:<\/p>\n<ul>\n<li>Nesne tan\u0131ma:<\/strong> G\u00f6r\u00fcnt\u00fclerdeki nesnelerin kenarlar\u0131n\u0131 tespit etmek i\u00e7in kullan\u0131l\u0131r.<\/li>\n<li>G\u00f6r\u00fcnt\u00fc segmentasyonu:<\/strong> G\u00f6r\u00fcnt\u00fcleri farkl\u0131 b\u00f6lgelere ay\u0131rmak i\u00e7in kullan\u0131l\u0131r.<\/li>\n<li>T\u0131bbi g\u00f6r\u00fcnt\u00fcleme:<\/strong> T\u0131bbi g\u00f6r\u00fcnt\u00fclerdeki \u00f6nemli yap\u0131lar\u0131n kenarlar\u0131n\u0131 tespit etmek i\u00e7in kullan\u0131l\u0131r.<\/li>\n<li>Otonom s\u00fcr\u00fc\u015f:<\/strong> \u00c7evreyi alg\u0131lamak ve yol \u00e7izgilerini tespit etmek i\u00e7in kullan\u0131l\u0131r.<\/li>\n<\/ul>\nSonu\u00e7 olarak, Canny kenar alg\u0131lama, g\u00fcr\u00fclt\u00fcl\u00fc g\u00f6r\u00fcnt\u00fclerde bile g\u00fc\u00e7l\u00fc ve ince kenarlar\u0131 tespit etmede olduk\u00e7a etkili bir y\u00f6ntemdir. Ancak, hesaplama maliyeti ve e\u015fik de\u011ferlerinin belirlenmesindeki zorluklar gibi dezavantajlar\u0131 da g\u00f6z \u00f6n\u00fcnde bulundurulmal\u0131d\u0131r. Bu makalede, Canny kenar alg\u0131lama algoritmas\u0131n\u0131n detaylar\u0131n\u0131, avantajlar\u0131n\u0131, dezavantajlar\u0131n\u0131 ve uygulamalar\u0131n\u0131 ele ald\u0131k. Umar\u0131m faydal\u0131 olmu\u015ftur.<\/p>\nDaha fazla bilgi i\u00e7in, <a href=\"https:\/\/dev.to\/catheryn\/canny-edge-detection-3h4l\">bu \u0130ngilizce makaleye<\/a> g\u00f6z atabilirsiniz.<\/p>\nFatih Soysal<\/strong><\/p>\n#Etiketler: Canny Kenar Alg\u0131lama, G\u00f6r\u00fcnt\u00fc \u0130\u015fleme, Kenar Alg\u0131lama, Gauss Bulan\u0131kla\u015ft\u0131rma, Gradyan, E\u015fikleme, Kenar Ba\u011flant\u0131s\u0131, Nesne Tan\u0131ma, G\u00f6r\u00fcnt\u00fc Segmentasyonu, Algoritma \n<\/body> \n<\/html> \n“`<\/p>\n","protected":false},"excerpt":{"rendered":"“`html Canny Kenar Alg\u0131lama: Detayl\u0131 Anlat\u0131m Canny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m G\u00f6r\u00fcnt\u00fc i\u015fleme alan\u0131nda, kenar alg\u0131lama olduk\u00e7a…","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-4268","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n<title>Canny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m<\/title>\n<meta name=\"description\" content=\"G\u00f6r\u00fcnt\u00fc i\u015fleme alan\u0131nda, kenar alg\u0131lama olduk\u00e7a \u00f6nemli bir konudur. Nesne tan\u0131ma, nesne takibi ve g\u00f6r\u00fcnt\u00fc segmentasyonu gibi bir\u00e7ok uygulamada temel bir ad\u0131m olarak kullan\u0131l\u0131r. Canny kenar alg\u0131lama y\u00f6ntemi, John F. Canny taraf\u0131ndan 1986 y\u0131l\u0131nda geli\u015ftirilmi\u015f ve g\u00fcn\u00fcm\u00fczde hala en pop\u00fcler ve etkili kenar alg\u0131lama tekniklerinden biridir. Bu y\u00f6ntem, g\u00fcr\u00fclt\u00fcy\u00fc bast\u0131rma, ince kenarlar\u0131n tespit edilmesi ve tek bir kenar\u0131n \u00e7oklu tespitini \u00f6nleme gibi \u00f6zellikleri ile \u00f6ne \u00e7\u0131kar. Bu makalede, Canny kenar alg\u0131laman\u0131n ad\u0131mlar\u0131n\u0131, temel prensiplerini ve uygulamalar\u0131n\u0131 detayl\u0131 bir \u015fekilde inceleyece\u011fiz.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Canny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m\" \/>\n<meta property=\"og:description\" content=\"G\u00f6r\u00fcnt\u00fc i\u015fleme alan\u0131nda, kenar alg\u0131lama olduk\u00e7a \u00f6nemli bir konudur. Nesne tan\u0131ma, nesne takibi ve g\u00f6r\u00fcnt\u00fc segmentasyonu gibi bir\u00e7ok uygulamada temel bir ad\u0131m olarak kullan\u0131l\u0131r. Canny kenar alg\u0131lama y\u00f6ntemi, John F. Canny taraf\u0131ndan 1986 y\u0131l\u0131nda geli\u015ftirilmi\u015f ve g\u00fcn\u00fcm\u00fczde hala en pop\u00fcler ve etkili kenar alg\u0131lama tekniklerinden biridir. Bu y\u00f6ntem, g\u00fcr\u00fclt\u00fcy\u00fc bast\u0131rma, ince kenarlar\u0131n tespit edilmesi ve tek bir kenar\u0131n \u00e7oklu tespitini \u00f6nleme gibi \u00f6zellikleri ile \u00f6ne \u00e7\u0131kar. Bu makalede, Canny kenar alg\u0131laman\u0131n ad\u0131mlar\u0131n\u0131, temel prensiplerini ve uygulamalar\u0131n\u0131 detayl\u0131 bir \u015fekilde inceleyece\u011fiz.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2024-11-19T03:00:32+00:00\" \/>\n<meta name=\"author\" content=\"Fatih Soysal\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fatih Soysal\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"Canny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m\",\"datePublished\":\"2024-11-19T03:00:32+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/\"},\"wordCount\":772,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/#respond\"]}],\"copyrightYear\":\"2024\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/\",\"name\":\"Canny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2024-11-19T03:00:32+00:00\",\"description\":\"G\u00f6r\u00fcnt\u00fc i\u015fleme alan\u0131nda, kenar alg\u0131lama olduk\u00e7a \u00f6nemli bir konudur. 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Nesne tan\u0131ma, nesne takibi ve g\u00f6r\u00fcnt\u00fc segmentasyonu gibi bir\u00e7ok uygulamada temel bir ad\u0131m olarak kullan\u0131l\u0131r. Canny kenar alg\u0131lama y\u00f6ntemi, John F. Canny taraf\u0131ndan 1986 y\u0131l\u0131nda geli\u015ftirilmi\u015f ve g\u00fcn\u00fcm\u00fczde hala en pop\u00fcler ve etkili kenar alg\u0131lama tekniklerinden biridir. Bu y\u00f6ntem, g\u00fcr\u00fclt\u00fcy\u00fc bast\u0131rma, ince kenarlar\u0131n tespit edilmesi ve tek bir kenar\u0131n \u00e7oklu tespitini \u00f6nleme gibi \u00f6zellikleri ile \u00f6ne \u00e7\u0131kar. Bu makalede, Canny kenar alg\u0131laman\u0131n ad\u0131mlar\u0131n\u0131, temel prensiplerini ve uygulamalar\u0131n\u0131 detayl\u0131 bir \u015fekilde inceleyece\u011fiz.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/fatihsoysal.com\/blog\/canny-kenar-algilama-detayli-bir-anlatim\/","og_locale":"tr_TR","og_type":"article","og_title":"Canny Kenar Alg\u0131lama: Detayl\u0131 Bir Anlat\u0131m","og_description":"G\u00f6r\u00fcnt\u00fc i\u015fleme alan\u0131nda, kenar alg\u0131lama olduk\u00e7a \u00f6nemli bir konudur. Nesne tan\u0131ma, nesne takibi ve g\u00f6r\u00fcnt\u00fc segmentasyonu gibi bir\u00e7ok uygulamada temel bir ad\u0131m olarak kullan\u0131l\u0131r. Canny kenar alg\u0131lama y\u00f6ntemi, John F. 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