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COLOR SEPARATION WITH COMPUTER VISION

Yıl 2021, Cilt: 3 Sayı: 3, 201 - 208, 16.09.2021

Hüseyin Ceylan , Ömer Çokaklı

https://doi.org/10.47933/ijeir.945265

Öz

From the first day of existence human beings have been carrying out various production activities to meet their basic needs. Today, the majority of products are produced within factories. The identification, differentiation or classification of these products plays an extremely important role in factory operation and efficiency. Human factors and mechanical systems in factories cause a waste of time, defects or faulty separation of products. According to these requirements and problems, the methods used in factories have necessarily become more functional. Various cases such as whether the products produced in the factories comply with the required standards or their classification are determined according to varying parameters. One of these parameters is the color of the product (or the color of some part on the product). In this study, product images of different colors will be imported to the Matlab environment via camera, and those images will be determined and separated according to their colors (Red, Green, Blue) by applying computer vision and image processing techniques in the Matlab environment.

Anahtar Kelimeler

Computer Vision Color Detection Product Seperation Image Processing

Kaynakça

  • [1] Gürcan, E. "Computer Vision in Industrial Automation." Master Thesis, Yildiz Technical University, 2008.
  • [2] Öztürk, N. "Eggshell Defects Detection on White Eggs Using Image Processing Techniques.” Master Thesis, Karadeniz Technical University, 2014.
  • [3] Arslan, İ. "Real Time Wildfire Smoke Detection On Moving Camera." Master Thesis, Hacettepe University, 2015.
  • [4] Çelik, Y. "Mouse Design Using Image Processing for Disabled. "Kahramanmaras Sutçu Imam University Journal of Engineering Sciences 20//3 ,2017: 49-55.
  • [5] Senthilkumar K. "Traffic Analysis and Control Using Image Processing." IOP Conference Series Materials Science and Engineering 263//4(2017):042047.
  • [6] Ebraheem S. "Using Digital Image Processing to Make an Intelligent Gate." International Journal of Advanced Computer Science and Applications 5//5, 2014.
  • [7] Shu C. and Gerhardrothrogerscom G. R., "Introduction to Computer Vision What is Computer Vision? The goal of computer vision is to develop Machine Vision General visual perception is hard, " pp. 1–12, 2008.
  • [8] Szeliski R., "Computer Vision, Algorithms and Applications", Springer, pp. 1–25, 2010.
  • [9] Bishop M., "What is Computer Vision?, " Security & Privacy, IEEE, 2003. [Online]. Available: https://hayo.io/computer-vision/
  • [10] Disun. “What is Computer Vision.” https://www.disun.com.tr/index.php/sayfa1/
  • [11] Karakoç M. "Image Processing Technologies and Applications", Akademik Bilisim Conference 2012 (1-3 February 2012), Usak University, Usak, 2012.
  • [12] Aydın İ., Bölüm:0 "Introduction Digital Image Processing.", Elazığ, 2013. http://web.firat.edu.tr/iaydin/bmu357/bmu357_bolum0.pdf , 2016.
  • [13] Sevgen S., "Stable Template Design For Cellular Neural Network With Applications To Image Processing", Unpublished Ph.D. Thesis, Istanbul University, Istanbul, 2009.
  • [14] Kısa M., "Detection Of Vehicles On The Road", Unpublished Ph.D. Thesis, Selcuk University, Konya, 2014.
  • [15] Alçın M., "Image Processing Based Fingerprint Verification Reliable", Unpublished Master Thesis, Marmara University, Istanbul, 2007.
  • [16] Özalp M., 2015, Image Enhancement, http://documents.tips/documents/imgeiyilestirme-sunu.html , (03.11.2016).
  • [17] Yetik İ.Ş., ELE 473-573 "Digital Image Processing - Projects", 2015, http://syetik.etu.edu.tr/ele573/projects.html , 2016.
  • [18] Huang J., Kumar S.R., Mitra M., Zhu W.J., Zabih R., "Spatial color indexing and applications", International Journal of Computer Vision, Volume:35, Number:3, pp.245–268. 1999, http://www.cs.cornell.edu/~rdz/Papers/jing-IJCV99.pdf, 2016.
  • [19] Akan H., "A System Design For Control Of The Processes Based On Digital Image Analysis", Unpublished Master Thesis, Marmara University, Istanbul, 2007
  • [20] Perihanoğlu G.M., "Feature Extraction from Images By Using Digital Image Processing Techniques", Unpublished Master Thesis, Istanbul Technical University, Istanbul, 2015
  • [21] Karakoç M., “Image Searching Inside Another Image Processing Techniques And Artificial Intelligence Methods”, Unpublished Master Thesis, Pamukkale University, Denizli, 2011.
  • [22] Artes Camera. "Property of Camera." http://artescorp.com/store/ProductDetails.aspx?productid=85513

BİLGİSAYAR GÖRÜŞÜ İLE RENK AYIRMA

Yıl 2021, Cilt: 3 Sayı: 3, 201 - 208, 16.09.2021

Hüseyin Ceylan , Ömer Çokaklı

https://doi.org/10.47933/ijeir.945265

Öz

İnsanoğlu var olduğu ilk günden bu yana temel ihtiyaçlarını karşılayabilmek için çeşitli üretim faaliyetleri göstermektedir. Günümüzde hemen hemen birçok ürün artık fabrikasyon faaliyetleri sonucunda ortaya çıkmaktadır. Ortaya çıkan bu ürünlerin tanımlanması, ayrıştırılması veya tasniflenmesi gibi durumlar fabrika işleyişi ve verimliliği açısından son derece önemli bir yere sahiptir. Fabrika işleyişinde insan faktörü ve mekanik sistemlerin kullanılması zaman kayıplarına, hatalı üretim sonuçlarına ya da üretilen ürünlerin yanlış ayrıştırılması gibi durumlara neden olmaktadır. Bu ihtiyaçlara ve sorunlara dayanarak fabrikalarda kullanılan metotlar mecburi olarak daha fonksiyonel hale dönüşmüşlerdir. Fabrikalarda üretilen ürünlerin istenilen standartlara uyup uymadığı, tasniflenmesi gibi çeşitli durumlar, değişkenlik gösteren parametrelere göre tespit edilmektedir. Bu parametrelerden bir tanesi de ürünün rengidir (veya ürün üzerindeki bir bölgenin rengi). Bu çalışmada farklı renkteki ürünlerin görüntüleri kamera kullanılarak Matlab ortamına aktarılacak, elde edilen görüntüler Matlab ortamında bilgisayarda görme ve görüntü işleme teknikleri uygulanarak ürünlerin renklerine göre (Kırmızı, Yeşil, Mavi) tanımlanması ve ayrıştırılması sağlanacaktır.

Anahtar Kelimeler

Bilgisayarda Görme Renk Tanıma Ürün Ayrıştırma Görüntü İşleme

Kaynakça

  • [1] Gürcan, E. "Computer Vision in Industrial Automation." Master Thesis, Yildiz Technical University, 2008.
  • [2] Öztürk, N. "Eggshell Defects Detection on White Eggs Using Image Processing Techniques.” Master Thesis, Karadeniz Technical University, 2014.
  • [3] Arslan, İ. "Real Time Wildfire Smoke Detection On Moving Camera." Master Thesis, Hacettepe University, 2015.
  • [4] Çelik, Y. "Mouse Design Using Image Processing for Disabled. "Kahramanmaras Sutçu Imam University Journal of Engineering Sciences 20//3 ,2017: 49-55.
  • [5] Senthilkumar K. "Traffic Analysis and Control Using Image Processing." IOP Conference Series Materials Science and Engineering 263//4(2017):042047.
  • [6] Ebraheem S. "Using Digital Image Processing to Make an Intelligent Gate." International Journal of Advanced Computer Science and Applications 5//5, 2014.
  • [7] Shu C. and Gerhardrothrogerscom G. R., "Introduction to Computer Vision What is Computer Vision? The goal of computer vision is to develop Machine Vision General visual perception is hard, " pp. 1–12, 2008.
  • [8] Szeliski R., "Computer Vision, Algorithms and Applications", Springer, pp. 1–25, 2010.
  • [9] Bishop M., "What is Computer Vision?, " Security & Privacy, IEEE, 2003. [Online]. Available: https://hayo.io/computer-vision/
  • [10] Disun. “What is Computer Vision.” https://www.disun.com.tr/index.php/sayfa1/
  • [11] Karakoç M. "Image Processing Technologies and Applications", Akademik Bilisim Conference 2012 (1-3 February 2012), Usak University, Usak, 2012.
  • [12] Aydın İ., Bölüm:0 "Introduction Digital Image Processing.", Elazığ, 2013. http://web.firat.edu.tr/iaydin/bmu357/bmu357_bolum0.pdf , 2016.
  • [13] Sevgen S., "Stable Template Design For Cellular Neural Network With Applications To Image Processing", Unpublished Ph.D. Thesis, Istanbul University, Istanbul, 2009.
  • [14] Kısa M., "Detection Of Vehicles On The Road", Unpublished Ph.D. Thesis, Selcuk University, Konya, 2014.
  • [15] Alçın M., "Image Processing Based Fingerprint Verification Reliable", Unpublished Master Thesis, Marmara University, Istanbul, 2007.
  • [16] Özalp M., 2015, Image Enhancement, http://documents.tips/documents/imgeiyilestirme-sunu.html , (03.11.2016).
  • [17] Yetik İ.Ş., ELE 473-573 "Digital Image Processing - Projects", 2015, http://syetik.etu.edu.tr/ele573/projects.html , 2016.
  • [18] Huang J., Kumar S.R., Mitra M., Zhu W.J., Zabih R., "Spatial color indexing and applications", International Journal of Computer Vision, Volume:35, Number:3, pp.245–268. 1999, http://www.cs.cornell.edu/~rdz/Papers/jing-IJCV99.pdf, 2016.
  • [19] Akan H., "A System Design For Control Of The Processes Based On Digital Image Analysis", Unpublished Master Thesis, Marmara University, Istanbul, 2007
  • [20] Perihanoğlu G.M., "Feature Extraction from Images By Using Digital Image Processing Techniques", Unpublished Master Thesis, Istanbul Technical University, Istanbul, 2015
  • [21] Karakoç M., “Image Searching Inside Another Image Processing Techniques And Artificial Intelligence Methods”, Unpublished Master Thesis, Pamukkale University, Denizli, 2011.
  • [22] Artes Camera. "Property of Camera." http://artescorp.com/store/ProductDetails.aspx?productid=85513
Toplam 22 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Articles
Yazarlar

Hüseyin Ceylan 0000-0001-7070-3949

Ömer Çokaklı 0000-0002-5069-3402

Yayımlanma Tarihi 16 Eylül 2021
Kabul Tarihi 21 Haziran 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 3 Sayı: 3

Kaynak Göster

APA Ceylan, H., & Çokaklı, Ö. (2021). COLOR SEPARATION WITH COMPUTER VISION. International Journal of Engineering and Innovative Research, 3(3), 201-208. https://doi.org/10.47933/ijeir.945265
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