This paper proposes a real-time video analysis algorithm to read the resistance value of a resistor using a color recognition technique. To achieve this, firstly, a nonlinear filtering is applied to input video frame to smooth intensity variations and remove impulse noises. After that, a photometric invariants technique is employed to transfer the video frame from RGB color space to Hue-Saturation-Value (HSV) color space, which decreases sensitivity of the proposed method to illumination changes. Next, a region of interest is defined to automatically detect resistor's colors and then an Euclidean distance based clustering strategy is employed to recognize the color bars. The proposed method provides a wide range of color classification which includes twelve colors. In addition, it utilizes relatively low computational time which makes it suitable for real-time mobile video applications. The experiments are performed on a variety of test videos and results show that the proposed method has low error rate compared to the other resistor color code recognition mobile applications. © 2018 IEEE.
Eser Adı (dc.title) | Real-Time Resistor Color Code Recognition using Image Processing in Mobile Devices |
Yayın Türü (dc.type) | Konferans Bildirisi |
Yazar/lar (dc.contributor.author) | DEMİR, Muhammed Fatih |
Yazar/lar (dc.contributor.author) | ÇANKIRLI, Ayşenur |
Yazar/lar (dc.contributor.author) | KARABATAK, Begüm |
Yazar/lar (dc.contributor.author) | YAVARIABDI, Amir |
Yazar/lar (dc.contributor.author) | MENDİ, Engin |
Yazar/lar (dc.contributor.author) | KUSETOĞULLARI, Hüseyin |
DOI Numarası (dc.identifier.doi) | 10.1109/IS.2018.8710533 |
Atıf Dizini (dc.source.database) | Scopus |
Yayıncı (dc.publisher) | Institute of Electrical and Electronics Engineers Inc. |
Yayın Tarihi (dc.date.issued) | 2018 |
Kayıt Giriş Tarihi (dc.date.accessioned) | 2020-08-07T12:52:37Z |
Açık Erişim tarihi (dc.date.available) | 2020-08-07T12:52:37Z |
Kaynak (dc.source) | 9th International Conference on Intelligent Systems, IS 2018 |
ISSN (dc.identifier.issn) | 9781538670972 (ISBN) |
Özet (dc.description.abstract) | This paper proposes a real-time video analysis algorithm to read the resistance value of a resistor using a color recognition technique. To achieve this, firstly, a nonlinear filtering is applied to input video frame to smooth intensity variations and remove impulse noises. After that, a photometric invariants technique is employed to transfer the video frame from RGB color space to Hue-Saturation-Value (HSV) color space, which decreases sensitivity of the proposed method to illumination changes. Next, a region of interest is defined to automatically detect resistor's colors and then an Euclidean distance based clustering strategy is employed to recognize the color bars. The proposed method provides a wide range of color classification which includes twelve colors. In addition, it utilizes relatively low computational time which makes it suitable for real-time mobile video applications. The experiments are performed on a variety of test videos and results show that the proposed method has low error rate compared to the other resistor color code recognition mobile applications. © 2018 IEEE. |
Yayın Dili (dc.language.iso) | en |
Tek Biçim Adres (dc.identifier.uri) | http://hdl.handle.net/20.500.12498/2865 |