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System Design and Control for Computer Vision Systems

Yıl 2019, Cilt: 7 Sayı: 1, 228 - 240, 01.03.2019
https://doi.org/10.15317/Scitech.2019.194

Öz

Lighting and environment are important for computer vision applications. It
is necessary to determine the properties of the objects and to get the desired
quality images. So as to be provided with constant and controlled lighting
conditions. In the study, a pool of light was created so that the image was not
affected by external conditions in computer vision applications. LED lighting
fixtures driver, the amount of light and the color spectrum provided to control
the computer in the system. In addition, two different lighting sources were
used, and according to the distance of the center of the light pool of the
light level was determined by both the luxury meter and the image processing
techniques.

Kaynakça

  • Arduino, WhatArduino Can Do, http://www.arduino.cc/, ziyaret tarihi: 25.01.2018.
  • Batchelor, B.G., 2012, IlluminationSources, Machine VisionHandbook, Cilt 1, Ed. B.G. Batchelor, Springer Science ve Business Media, New York, 283-318.
  • Belhumeur, P.N.,Kriegman, D. J., 1998, “What is the set of images of an objectunderallpossibleilluminationconditions?”, International Journal of ComputerVision, Cilt 28, Sayı 3, ss. 245-260.
  • CIE (CommissionInternationale de L’Eclairage),1997,Standard Methods for Specifying and Measuring LED Characteristics, CIE TC 2-34 127, Vienna.
  • Cowan, C.K.,Modayur, B.,DeCurtins, J. L., 1992, “Automatic Light-Source Placement For Detecting Object Features”, Proceedings of SPIE, Cilt 1826, Sayı 1, ss. 397-408.
  • Cusano, C.,Napoletano, P., Schettini, R., 2016, “Evaluating color texture descriptors under large variations of controlled lighting conditions”, JOSA A, Cilt 33, Sayı 1, ss. 17-30.
  • Gonzalez, R.C.,Woods, R.E., 2008, Digital Image Processing, Pearson Prentice Hall, New Jersey.
  • Harding, K.G., 2003, Machine Vision-Lighting, Encyclopedia of Optical Engineering, Cilt 2, Ed. R.G. Driggers, Marcel Dekker Inc, New York, 1227-1239.
  • Huang, B. J.,Hsu, P. C., Wu, M. S., Tang, C. W., 2007, “Study of System Dynamics Model and Control of a High-Power LED Lighting Luminaire”, Energy, Elsevier, Cilt 32, Sayı 11, ss. 2187-2198.
  • IESNA, 2000,LightandOptics, The Illuminating Engineering Society of North America Lighting Handbook Ed. M.S. Rea, Illuminating Engineering Press, New York, 1-36.
  • Ismail, A.H.,Muhamad Azmi, M.S., Hashim, M.A., Nasir Ayob, M., Hashim, M.S.M., Hassrizal, H.B., “Development of a Webcam Based Lux Meter”, 2013 IEEE Symposium on Computers & Informatics, Langkawi, Malaysia, 70-74, 7-9 April 2013.
  • Jahr, I., 2006,Lighting in Machine Vision, Handbook of Machine Vision, Ed. A. Hornberg, Wiley Publication, ABD, 73-205.
  • Jehle, M.,Sommer, C., Jähne, B., “Learning of Optimal Illumination for Material Classification”, 32nd DAGM Symposium, Darmstadt, Germany, 563-572, 22-24 September 2010.
  • Jun, L., 2006, Key Technology of The Lamp in the Machine Vision Field, (Yüksek Lisans), University of Technology, Tianjin.
  • Kocabey, S., 1999, Dâhili Ortamlarda Aydınlık Seviyesinin Kontrolü ile Enerji Tasarrufunun Sağlanması, Yüksek Lisans Tezi, Marmara Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul.
  • Kopparapu, S. K., 2006, “Lighting Design For Machine Vision Application”, Image and Vision Computing Elsevier, Cilt 24, Sayı 7, ss. 720-726.
  • Kraehenbuehl, J. O., 1949, Electrical Illumination, Jon Wiley & Sons. Inc., New York.
  • Lecklider, T., 2007, Shedding Some Light On Machine Vision, https://www.evaluationengineering.com/shedding-some-light-on-machine-vision Ziyaret Tarihi: 03 Ağustos 2018.
  • Led-professional, Human-Centric Lighting: Sensor Technology for Full-Spectrum Lighting Solutions by Ams, https://www.led-professional.com/resources-1/articles/human-centric-lighting-sensor-technology-for-full-spectrum-lighting-solutions-by-ams, ziyaret tarihi: 25.01.2018.
  • Li-Li, Z., Yan-Hua, W., Xue-Feng, Z., Hong-Yu, L., “Implementation of a Novel LED Backlight Device Used for Glass Bottle Detection”, 2013 Seventh International Conference on Image and Graphics, Qingdao, China, 766-769, 26-28 July 2013.
  • Linde, Y. Buzo, A.,Gray, R. M., 1980, “An Algorithm for Vector Quantization Design”, IEEE Transactions on Communications, Cilt 28, Sayı 1, ss. 84-95.
  • Linnartz, J. P. M. G., Feri, L., Yang, H., Colak, S. B., Schenk, T.C.W., “Communications and Sensing of Illumination Contributions in a Power LED Lighting System”, ICC'08 IEEE International Conference, Beijing, China, 5396-5400, 19-23 May 2008.
  • Louw, A.W.,Neethling, C., “Digital LED Lighting Solutions”, Domestic Use of Energy Conference (DUE) 2013 Proceedings of the 21st, Cape Town, South Africa, 2-4 April 2013.
  • Martinkauppi, B., 2002, Face colour under varying illumination: analysis and applications, University of Oulu, Finland.
  • Miki, M.,Kasahara, Y., Hiroyasu, T., andYoshimi, M., “Construction of illuminance distribution measurement system and evaluation of illuminance convergence in Intelligent Lighting System,” in IEEE Sensors, Kona, HI, USA, ss. 2431–2434, 2010.
  • Moo, C. S.,Chen, Y. J., Yang, W. C., 2012, An Efficient Driver for Dimmable LED Lighting, IEEE Transactions On Power Electronics, Cilt 27, Sayı 11, ss. 4613-4618.
  • Muthu, S. ve Gaines, J., “Red, Greenand Blue LED-based White Light Source: Implementation Challenges and Control Design”, Industry Applications Conference, Salt Lake City, USA. 515-522, 12-16 Oct. 2003.
  • Narra, P.,Zinger, D.S. “An Effective LED Dimming Approach”, Industry Applications Conference, 39th IAS Annual Meeting Conference Record of the, Seattle, WA, USA, 3-7 Oct. 2004.
  • Özkaya, M., Tüfekçi, T., 2011, Aydınlatma Tekniği, Birsen Yayın Evi, İstanbul.
  • Pritchard, D.C., 1999, Lighting, Cilt 6, Longman, England.
  • Stankus, M. Penhaker, M. Cerny, “LowCost Data Acquisition System for Biomedical Usage”, XII Mediterranean Conference on Medical and Biological Engineering and Computing, Chalkidiki, Greece, 883-885, 27-30 May 2010.
  • Steger, C.,Ulrich, M., Wiedemann, C., 2008, Machine Vision Algorithms and Applications, Wiley Press, ABD.
  • Sugiyama, H.,Haruyama, S., Nakagawa, M., “Brightness Control Methods for Illumination and Visible-Light Communication Systems”, Wireless and Mobile Communications, ICWMC '07. Third International Conference on, Guadeloupe, France, 78, 4-9 March 2007.
  • Teikari, P.,Najjar, R. P., Malkki, H., Knoblauch, K., Dumortier, D., Gronfier, C., Cooper, H. M., 2012, “An inexpensive Arduino-based LED stimulator system for vision research”, Journal of Neuroscience Methods, Cilt 211, Sayı 2, ss. 227-236.
  • Wilson, A., 1999,Machine Vision Moves Toward Plug-And-Play, http://www.vision-systems.com/articles/print/volume-4/issue-8/features/feature-article/how-to-select-lighting-and-optics-for-vision-systems.html, ziyaret tarihi: 25.01.2018.
  • Xu, L.M.,Yang, Z.Q., Jiang, Z.H., Chen, Y., 2017, “Light source optimization for automatic visual inspection of piston surface defects”, The International Journal of Advanced Manufacturing Technology, Cilt 91, Sayı 5-8, ss. 2245-2256.
  • Yuntao, G., 2004, “Foundation of Machine Vision Optical”, Fontan Photo electric Technology Information, ss. 2-6.
  • Yusuf, M.A., Azmi, M.M., Ismail, A.H., Ibrahim, I.I., Hashim, M.S.M.,Kamarrudin, N.S. “Webcam Based Lux Meter Using Grid-Based Image Processing” In 2018 International Conference on ComputationalApproach in Smart Systems Design and Applications (ICASSDA), Kuching, Malaysia,1-6,15-17 August 2018.

BİLGİSAYARLI GÖRÜ SİSTEMLERİ İÇİN SİSTEM TASARIMI VE KONTROLÜ

Yıl 2019, Cilt: 7 Sayı: 1, 228 - 240, 01.03.2019
https://doi.org/10.15317/Scitech.2019.194

Öz

Bilgisayarlı
görme uygulamaları için aydınlatma ve sahne önemlidir. Nesnelerin özelliklerini
belirlemek ve istenilen kalitede görüntü alabilmek, aydınlatma koşullarının
olabildiğince sabit ve kontrollü olması ile sağlanır. Çalışmada bilgisayarlı
görü uygulamalarında görüntünün dış koşullardan etkilenmemesi için bir ışık
havuzu oluşturulmuştur. Sistemindeki LED aydınlatma armatürlerinin sürülmesi,
ışık miktarının ve renk yelpazesinin bilgisayar ile kontrol edilmesi
sağlanmıştır. Ayrıca iki farklı aydınlatma kaynağı kullanılarak mesafelere göre
ışık havuzunun orta noktasına düşen aydınlık düzeyinin hem lüksmetre hem de
görüntü işleme teknikleri ile belirlenmiştir.

Kaynakça

  • Arduino, WhatArduino Can Do, http://www.arduino.cc/, ziyaret tarihi: 25.01.2018.
  • Batchelor, B.G., 2012, IlluminationSources, Machine VisionHandbook, Cilt 1, Ed. B.G. Batchelor, Springer Science ve Business Media, New York, 283-318.
  • Belhumeur, P.N.,Kriegman, D. J., 1998, “What is the set of images of an objectunderallpossibleilluminationconditions?”, International Journal of ComputerVision, Cilt 28, Sayı 3, ss. 245-260.
  • CIE (CommissionInternationale de L’Eclairage),1997,Standard Methods for Specifying and Measuring LED Characteristics, CIE TC 2-34 127, Vienna.
  • Cowan, C.K.,Modayur, B.,DeCurtins, J. L., 1992, “Automatic Light-Source Placement For Detecting Object Features”, Proceedings of SPIE, Cilt 1826, Sayı 1, ss. 397-408.
  • Cusano, C.,Napoletano, P., Schettini, R., 2016, “Evaluating color texture descriptors under large variations of controlled lighting conditions”, JOSA A, Cilt 33, Sayı 1, ss. 17-30.
  • Gonzalez, R.C.,Woods, R.E., 2008, Digital Image Processing, Pearson Prentice Hall, New Jersey.
  • Harding, K.G., 2003, Machine Vision-Lighting, Encyclopedia of Optical Engineering, Cilt 2, Ed. R.G. Driggers, Marcel Dekker Inc, New York, 1227-1239.
  • Huang, B. J.,Hsu, P. C., Wu, M. S., Tang, C. W., 2007, “Study of System Dynamics Model and Control of a High-Power LED Lighting Luminaire”, Energy, Elsevier, Cilt 32, Sayı 11, ss. 2187-2198.
  • IESNA, 2000,LightandOptics, The Illuminating Engineering Society of North America Lighting Handbook Ed. M.S. Rea, Illuminating Engineering Press, New York, 1-36.
  • Ismail, A.H.,Muhamad Azmi, M.S., Hashim, M.A., Nasir Ayob, M., Hashim, M.S.M., Hassrizal, H.B., “Development of a Webcam Based Lux Meter”, 2013 IEEE Symposium on Computers & Informatics, Langkawi, Malaysia, 70-74, 7-9 April 2013.
  • Jahr, I., 2006,Lighting in Machine Vision, Handbook of Machine Vision, Ed. A. Hornberg, Wiley Publication, ABD, 73-205.
  • Jehle, M.,Sommer, C., Jähne, B., “Learning of Optimal Illumination for Material Classification”, 32nd DAGM Symposium, Darmstadt, Germany, 563-572, 22-24 September 2010.
  • Jun, L., 2006, Key Technology of The Lamp in the Machine Vision Field, (Yüksek Lisans), University of Technology, Tianjin.
  • Kocabey, S., 1999, Dâhili Ortamlarda Aydınlık Seviyesinin Kontrolü ile Enerji Tasarrufunun Sağlanması, Yüksek Lisans Tezi, Marmara Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul.
  • Kopparapu, S. K., 2006, “Lighting Design For Machine Vision Application”, Image and Vision Computing Elsevier, Cilt 24, Sayı 7, ss. 720-726.
  • Kraehenbuehl, J. O., 1949, Electrical Illumination, Jon Wiley & Sons. Inc., New York.
  • Lecklider, T., 2007, Shedding Some Light On Machine Vision, https://www.evaluationengineering.com/shedding-some-light-on-machine-vision Ziyaret Tarihi: 03 Ağustos 2018.
  • Led-professional, Human-Centric Lighting: Sensor Technology for Full-Spectrum Lighting Solutions by Ams, https://www.led-professional.com/resources-1/articles/human-centric-lighting-sensor-technology-for-full-spectrum-lighting-solutions-by-ams, ziyaret tarihi: 25.01.2018.
  • Li-Li, Z., Yan-Hua, W., Xue-Feng, Z., Hong-Yu, L., “Implementation of a Novel LED Backlight Device Used for Glass Bottle Detection”, 2013 Seventh International Conference on Image and Graphics, Qingdao, China, 766-769, 26-28 July 2013.
  • Linde, Y. Buzo, A.,Gray, R. M., 1980, “An Algorithm for Vector Quantization Design”, IEEE Transactions on Communications, Cilt 28, Sayı 1, ss. 84-95.
  • Linnartz, J. P. M. G., Feri, L., Yang, H., Colak, S. B., Schenk, T.C.W., “Communications and Sensing of Illumination Contributions in a Power LED Lighting System”, ICC'08 IEEE International Conference, Beijing, China, 5396-5400, 19-23 May 2008.
  • Louw, A.W.,Neethling, C., “Digital LED Lighting Solutions”, Domestic Use of Energy Conference (DUE) 2013 Proceedings of the 21st, Cape Town, South Africa, 2-4 April 2013.
  • Martinkauppi, B., 2002, Face colour under varying illumination: analysis and applications, University of Oulu, Finland.
  • Miki, M.,Kasahara, Y., Hiroyasu, T., andYoshimi, M., “Construction of illuminance distribution measurement system and evaluation of illuminance convergence in Intelligent Lighting System,” in IEEE Sensors, Kona, HI, USA, ss. 2431–2434, 2010.
  • Moo, C. S.,Chen, Y. J., Yang, W. C., 2012, An Efficient Driver for Dimmable LED Lighting, IEEE Transactions On Power Electronics, Cilt 27, Sayı 11, ss. 4613-4618.
  • Muthu, S. ve Gaines, J., “Red, Greenand Blue LED-based White Light Source: Implementation Challenges and Control Design”, Industry Applications Conference, Salt Lake City, USA. 515-522, 12-16 Oct. 2003.
  • Narra, P.,Zinger, D.S. “An Effective LED Dimming Approach”, Industry Applications Conference, 39th IAS Annual Meeting Conference Record of the, Seattle, WA, USA, 3-7 Oct. 2004.
  • Özkaya, M., Tüfekçi, T., 2011, Aydınlatma Tekniği, Birsen Yayın Evi, İstanbul.
  • Pritchard, D.C., 1999, Lighting, Cilt 6, Longman, England.
  • Stankus, M. Penhaker, M. Cerny, “LowCost Data Acquisition System for Biomedical Usage”, XII Mediterranean Conference on Medical and Biological Engineering and Computing, Chalkidiki, Greece, 883-885, 27-30 May 2010.
  • Steger, C.,Ulrich, M., Wiedemann, C., 2008, Machine Vision Algorithms and Applications, Wiley Press, ABD.
  • Sugiyama, H.,Haruyama, S., Nakagawa, M., “Brightness Control Methods for Illumination and Visible-Light Communication Systems”, Wireless and Mobile Communications, ICWMC '07. Third International Conference on, Guadeloupe, France, 78, 4-9 March 2007.
  • Teikari, P.,Najjar, R. P., Malkki, H., Knoblauch, K., Dumortier, D., Gronfier, C., Cooper, H. M., 2012, “An inexpensive Arduino-based LED stimulator system for vision research”, Journal of Neuroscience Methods, Cilt 211, Sayı 2, ss. 227-236.
  • Wilson, A., 1999,Machine Vision Moves Toward Plug-And-Play, http://www.vision-systems.com/articles/print/volume-4/issue-8/features/feature-article/how-to-select-lighting-and-optics-for-vision-systems.html, ziyaret tarihi: 25.01.2018.
  • Xu, L.M.,Yang, Z.Q., Jiang, Z.H., Chen, Y., 2017, “Light source optimization for automatic visual inspection of piston surface defects”, The International Journal of Advanced Manufacturing Technology, Cilt 91, Sayı 5-8, ss. 2245-2256.
  • Yuntao, G., 2004, “Foundation of Machine Vision Optical”, Fontan Photo electric Technology Information, ss. 2-6.
  • Yusuf, M.A., Azmi, M.M., Ismail, A.H., Ibrahim, I.I., Hashim, M.S.M.,Kamarrudin, N.S. “Webcam Based Lux Meter Using Grid-Based Image Processing” In 2018 International Conference on ComputationalApproach in Smart Systems Design and Applications (ICASSDA), Kuching, Malaysia,1-6,15-17 August 2018.
Toplam 38 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Birkan Büyükarıkan

İsmail Serkan Üncü

Yayımlanma Tarihi 1 Mart 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 7 Sayı: 1

Kaynak Göster

APA Büyükarıkan, B., & Üncü, İ. S. (2019). BİLGİSAYARLI GÖRÜ SİSTEMLERİ İÇİN SİSTEM TASARIMI VE KONTROLÜ. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi, 7(1), 228-240. https://doi.org/10.15317/Scitech.2019.194
AMA Büyükarıkan B, Üncü İS. BİLGİSAYARLI GÖRÜ SİSTEMLERİ İÇİN SİSTEM TASARIMI VE KONTROLÜ. sujest. Mart 2019;7(1):228-240. doi:10.15317/Scitech.2019.194
Chicago Büyükarıkan, Birkan, ve İsmail Serkan Üncü. “BİLGİSAYARLI GÖRÜ SİSTEMLERİ İÇİN SİSTEM TASARIMI VE KONTROLÜ”. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi 7, sy. 1 (Mart 2019): 228-40. https://doi.org/10.15317/Scitech.2019.194.
EndNote Büyükarıkan B, Üncü İS (01 Mart 2019) BİLGİSAYARLI GÖRÜ SİSTEMLERİ İÇİN SİSTEM TASARIMI VE KONTROLÜ. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi 7 1 228–240.
IEEE B. Büyükarıkan ve İ. S. Üncü, “BİLGİSAYARLI GÖRÜ SİSTEMLERİ İÇİN SİSTEM TASARIMI VE KONTROLÜ”, sujest, c. 7, sy. 1, ss. 228–240, 2019, doi: 10.15317/Scitech.2019.194.
ISNAD Büyükarıkan, Birkan - Üncü, İsmail Serkan. “BİLGİSAYARLI GÖRÜ SİSTEMLERİ İÇİN SİSTEM TASARIMI VE KONTROLÜ”. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi 7/1 (Mart 2019), 228-240. https://doi.org/10.15317/Scitech.2019.194.
JAMA Büyükarıkan B, Üncü İS. BİLGİSAYARLI GÖRÜ SİSTEMLERİ İÇİN SİSTEM TASARIMI VE KONTROLÜ. sujest. 2019;7:228–240.
MLA Büyükarıkan, Birkan ve İsmail Serkan Üncü. “BİLGİSAYARLI GÖRÜ SİSTEMLERİ İÇİN SİSTEM TASARIMI VE KONTROLÜ”. Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi, c. 7, sy. 1, 2019, ss. 228-40, doi:10.15317/Scitech.2019.194.
Vancouver Büyükarıkan B, Üncü İS. BİLGİSAYARLI GÖRÜ SİSTEMLERİ İÇİN SİSTEM TASARIMI VE KONTROLÜ. sujest. 2019;7(1):228-40.

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