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1. | parent_author | "" |
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parent_permlink | coogger |
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author | hakancelik |
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permlink | canny-kenar-alglama |
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title | "Canny Kenar Algılama" |
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body | "<center>
<a href="https://www.coogger.com/@hakancelik/canny-kenar-alglama">
<img alt="" src="https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/435f8877ff8b95bab1e4f3bd435524ffee5c14e6.png">
</a>
<a href="https://www.coogger.com/@hakancelik/canny-kenar-alglama">Read this content on coogger</a>
</center>
" |
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json_metadata | "{"format": "markdown", "tags": ["opencv", "canny", "coogger"], "app": "coogger/1.7.1", "ecosystem": {"version": "1.7.1", "body": "[TOC]\r\n\r\n## Hedefler\r\n- Canny kenar alg\u0131lama kavram\u0131\r\n- Bunun i\u015flem i\u00e7in OpenCV fonksiyonlar\u0131ndan : `cv2.Canny()`\r\n\r\n## Teori\r\n\r\nCanny kenar alg\u0131lama algoritmas\u0131 pop\u00fcler olan bir kenar alg\u0131lama algoritmas\u0131d\u0131r. 1986 y\u0131l\u0131nda **John F. Canny** taraf\u0131ndan geli\u015ftirilmi\u015ftir. Bu \u00e7ok a\u015famal\u0131 bir algoritmad\u0131r ve biz hepsini \u00f6\u011frenece\u011fiz.\r\n\r\n### Kirlilik Azaltma\r\n\r\nKenar tespiti g\u00f6r\u00fcnt\u00fcdeki kirlili\u011fe kar\u015f\u0131 hassas oldu\u011fu i\u00e7in, ilk ad\u0131m g\u00f6r\u00fcnt\u00fcdeki kirlili\u011fi 5x5 Gaussian filter ile kald\u0131rmakt\u0131r. Bunu daha \u00f6nceki b\u00f6l\u00fcmlerde zaten g\u00f6rd\u00fck.\r\n\r\n### G\u00f6r\u00fcnt\u00fcn\u00fcn Yo\u011funluk Gradyan\u0131n\u0131 Bulma\r\nD\u00fczeltilmi\u015f g\u00f6r\u00fcnt\u00fc yatay y\u00f6nde ![](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/435f8877ff8b95bab1e4f3bd435524ffee5c14e6.png) ve dikey y\u00f6nde ![](https://opencv-python-tutroals.readthedocs.io/en/latest/_images/math/8bc80afcfda0a10c756110ee5b0dfdfa5c137392.png) birinci t\u00fcrev elde etmek i\u00e7in yatay ve dikey y\u00f6nde bir Sobel \u00e7ekirde\u011fiyle filtrelenir. Bu iki resimden, her piksel i\u00e7in kenar e\u011fimini ve y\u00f6n\u00fcn\u00fc a\u015fa\u011f\u0131daki gibi bulabilirsiniz:\r\n\r\n<center>![canny-kenar-alglama](https://www.coogger.com/media/images/canny-kenar-alglama.png)</center>\r\n\r\nGradyan y\u00f6n\u00fc ( Gradient direction ) her zaman kenarlara diktir. Dikey, yatay ve iki diyagonal y\u00f6nde d\u00f6rt a\u00e7\u0131dan birine yuvarlan\u0131r.\r\n\r\n### Maksimum Olmayan Bast\u0131rma ( Non-maximum Suppression )\r\n\r\nE\u011fim b\u00fcy\u00fckl\u00fc\u011f\u00fc ve y\u00f6n\u00fcn\u00fc ald\u0131ktan sonra, kenar olu\u015fturmayan istenmeyen pikselleri kald\u0131rmak i\u00e7in g\u00f6r\u00fcnt\u00fcn\u00fcn tam bir taramas\u0131 yap\u0131l\u0131r. Bunun i\u00e7in, her pikselde, pikselin gradyan y\u00f6n\u00fcndeki kom\u015fusundan yerel bir maksimum olup olmad\u0131\u011f\u0131 kontrol edilir. A\u015fa\u011f\u0131daki g\u00f6r\u00fcnt\u00fcy\u00fc kontrol edin:\r\n\r\n<center>![](https://www.coogger.com/media/images/opencv_kenar_alg%C4%B1lama.jpg)</center>\r\n\r\nA noktas\u0131 kenar\u0131ndad\u0131r (dikey y\u00f6nde). Gradyan y\u00f6n\u00fc kenar\u0131n normalidir. B ve C noktas\u0131 gradyan y\u00f6n\u00fcndedir. B\u00f6ylece, nokta A, yerel maksimum olu\u015fturup olu\u015fturmad\u0131\u011f\u0131n\u0131 g\u00f6rmek i\u00e7in B ve noktalar\u0131 ile kontrol edilir. E\u011fer \u00f6yleyse bir sonraki a\u015famada kabul edilir, aksi takdirde bask\u0131 yap\u0131l\u0131r (s\u0131f\u0131ra getirilir). K\u0131sacas\u0131 elde etti\u011finiz sonu\u00e7, \"ince kenarlar\" i\u00e7eren bir ikili g\u00f6r\u00fcnt\u00fcd\u00fcr.\r\n\r\n### Histerik E\u015fik ( Hysteresis Thresholding )\r\n\r\nBu a\u015famada t\u00fcm kenarlar\u0131n ger\u00e7ek bir kenar olup olmad\u0131\u011f\u0131 kontrol edilir. Bunun i\u00e7in, iki e\u015fik de\u011fer olan minVal ( minimum de\u011fer ) ve maxVal'ye ( maksimum de\u011fer ) ihtiyac\u0131m\u0131z var. Yo\u011funluk gradyant\u0131 maxVal ( maksimum de\u011fer ) 'dan daha fazla olan kenarlar\u0131n kesinlikle kenard\u0131r ve minVal ( minimum de\u011fer )'\u0131n alt\u0131ndaki kenarlar\u0131n ise ger\u00e7ek kenar olmayaca\u011f\u0131ndan emin olunur, bu i\u015flem bu \u015fekilde ge\u00e7ilir. Bu iki e\u015fik de\u011feri ( maksimum ve minimum ) ile s\u0131n\u0131fland\u0131r\u0131l\u0131r. Onlar ger\u00e7ek kenar piksellerine ba\u011fl\u0131 ise kenarlar\u0131n bir par\u00e7as\u0131 olarak kabul edilir ve di\u011fer leri yani kenar olmayanlar at\u0131l\u0131r. A\u015fa\u011f\u0131daki g\u00f6r\u00fcnt\u00fcye bak\u0131n.\r\n\r\n<center>![](https://www.coogger.com/media/images/opencv_kenar_alg%C4%B1lama_kR2I3px.jpg)</center>\r\n\r\nA kenar\u0131, \"kesin kenar\" olarak kabul edilen maxVal'\u0131n \u00fcst\u00fcndedir. Kenar C, maxVal'\u0131n alt\u0131nda olmas\u0131na ra\u011fmen, kenar A'ya ba\u011fl\u0131d\u0131r, b\u00f6ylece ge\u00e7erli kenar olarak da d\u00fc\u015f\u00fcn\u00fcl\u00fcr ve bu tam e\u011fri elde edilir. Fakat Kenar B, minVal'\u0131n \u00fcst\u00fcnde ve Kenar C ile ayn\u0131 b\u00f6lgede olmas\u0131na ra\u011fmen, herhangi bir \"kesin-kenara\" ba\u011fl\u0131 de\u011fildir, b\u00f6ylece bu \u00e7\u0131kart\u0131l\u0131r. Dolay\u0131s\u0131yla do\u011fru sonuca ula\u015fmak i\u00e7in minVal ve maxVal de\u011ferlerini buna g\u00f6re se\u00e7memiz \u00e7ok \u00f6nemlidir.\r\n\r\nBu a\u015fama, kenarlar\u0131n uzun \u00e7izgiler oldu\u011fu varsay\u0131m\u0131yla k\u00fc\u00e7\u00fck piksel kirlili\u011fi \u00e7\u0131kart\u0131r.\r\n\r\nDolay\u0131s\u0131yla nihayetinde elde etti\u011fimiz, g\u00f6rselde g\u00fc\u00e7l\u00fc kenarlar kal\u0131r.\r\n\r\n## OpenCV'de Canny Kenar Alg\u0131lama\r\n\r\nOpencv yukar\u0131da i\u015fin teorik k\u0131sm\u0131nda bahsetti\u011fimiz olaylar\u0131 `cv2.Canny()` fonksiyonu ile yapar. \u015eimdi bu fonksiyonun nas\u0131l kullanaca\u011f\u0131m\u0131z\u0131 g\u00f6rece\u011fiz.\r\n\r\n- ilk parametremiz girdi arg\u00fcman\u0131 yani g\u00f6rselimizdir.\r\n- ikinci ve\r\n- \u00fc\u00e7\u00fcnc\u00fc parametreler s\u0131ras\u0131 ile minimum ve maksimum de\u011ferlerdir.\r\n- d\u00f6rd\u00fcnc\u00fc arg\u00fcman, **aperture_size**'dir. Resim gradyanlar\u0131 bulmak i\u00e7in kullan\u0131lan Sobel \u00e7ekirde\u011fi boyutudur. Varsay\u0131lan olarak 3't\u00fcr.\r\n- Son arg\u00fcman, gradyan b\u00fcy\u00fckl\u00fc\u011f\u00fcn\u00fc bulma denklemini belirten **L2gradient**'tir. Do\u011fruysa, yukar\u0131da belirtilen do\u011fru denklemi kullan\u0131r, aksi takdirde bu i\u015flevi kullan\u0131r:\r\n<center>![](https://www.coogger.com/media/images/edge_gradiant.png)</center>\r\n\r\n```python\r\nimport cv2\r\nimport numpy as np\r\nfrom matplotlib import pyplot as plt\r\nimg = cv2.imread('messi5.jpg',0)\r\nedges = cv2.Canny(img,100,200)\r\nplt.subplot(121),plt.imshow(img,cmap = 'gray')\r\nplt.title('Original Image'), plt.xticks([]), plt.yticks([])\r\nplt.subplot(122),plt.imshow(edges,cmap = 'gray')\r\nplt.title('Edge Image'), plt.xticks([]), plt.yticks([])\r\nplt.show()\r\n```\r\n#### Sonu\u00e7;\r\n\r\n<center>![](https://www.coogger.com/media/images/canny_messi.jpg)</center>"}}" |
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body | "I had predicted that Jon would somehow take the Black and end up back beyond the wall with Ghost.
I'm a little sad that there wasn't an ending that threw the whole world back into chaos - the "breaking the wheel" rhetoric that entered this episode felt forced; and RR Martin tends to grind the wheel rather than break it throughout all the books.
Now that this is over, I'd love for the <em>Kushiel's Legacy</em> series by Jacqueline Carey to adapted into a TV show. If people thought GoT had intrigue and risque characters and complex political story arcs... they've clearly not read a lot of fiction! " |
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parent_permlink | partiko |
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author | joanawatts |
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permlink | niki-lauda-f1-legend-passes-away-aged-70-eta5crjc |
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title | "Niki Lauda F1 legend passes away aged 70" |
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body | "![](https://steemitimages.com/0x0/https://d1vof77qrk4l5q.cloudfront.net/img/43cac6b35011538e7c7009ccb8676f2c9c813b6e.jpg)
Niki Lauda has died at the age of 70, his family have confirmed.
![](https://steemitimages.com/0x0/https://d1vof77qrk4l5q.cloudfront.net/img/109d443acec267d3b0c15b16887db81ab5cb37dd.jpg)
The three-time world champion took the title for Ferrari in 1975 and 1977 and then again for McLaren in 1984.
![](https://steemitimages.com/0x0/https://d1vof77qrk4l5q.cloudfront.net/img/d38476eaf599ee5cacb972c957ba30bfa8389502.jpg)
Lauda was badly burned in 1976 in an infamous Formula One crash and later became an airline entrepreneur with Lauda Air.
He also underwent a double lung transplant in August last year.
Earlier Austria press reported he was receiving kidney dialysis at a private clinic in Switzerland.
Lauda has two sons from his first marriage to Marlene Knaus.
![](https://steemitimages.com/0x0/https://d1vof77qrk4l5q.cloudfront.net/img/4dff6a8dd242843d718c60c4d4f82524c357cb4a.jpg)
In 2008 he married Birgit Wetzinger, who is 30 years his junior and was a flight attendant for his airline.
Three years earlier after a previous kidney transplant from his brother had failed, then 26-year-old Birgit successfully donated one of her organs to the F1 legend.
"We had been dating for eight months when I had a kidney problem," Lauda said in an interview.
"She did the test, and she did fit. After a long time thinking about it, we went and when they pushed her away in the hospital I was praying that nothing would happen to her.
"I got the kidney and it works 100 percent right, it's fantastic!"
In September 2009 Birgit gave birth to twins, a boy and a girl: Max and Mia.
![](https://steemitimages.com/0x0/https://d1vof77qrk4l5q.cloudfront.net/img/a07f2da59e22442af07e4d8235c459227461bd07.jpg)
Three-time F1 champion Lauda still watched Hamilton lead Mercedes to last year's title from his hospital bed.
Posted using [Partiko Android](https://partiko.app/referral/joanawatts)
Mirror.co.uk" |
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transaction_id | b310c5a821c5140bd84c9e2a39f86d3129f2daf2 |
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transaction_num | 34 |
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