dc.contributor.author | DEMİR, Muhammed Fatih | |
dc.contributor.author | ÇANKIRLI, Ayşenur | |
dc.contributor.author | KARABATAK, Begüm | |
dc.contributor.author | YAVARIABDI, Amir | |
dc.contributor.author | MENDİ, Engin | |
dc.contributor.author | KUSETOĞULLARI, Hüseyin | |
dc.date.accessioned | 2020-08-07T12:52:37Z | |
dc.date.available | 2020-08-07T12:52:37Z | |
dc.date.issued | 2018 | |
dc.identifier | 10.1109/IS.2018.8710533 | |
dc.identifier.issn | 9781538670972 (ISBN) | |
dc.identifier.uri | http://hdl.handle.net/20.500.12498/2865 | |
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. | |
dc.language.iso | English | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.source | 9th International Conference on Intelligent Systems, IS 2018 | |
dc.title | Real-Time Resistor Color Code Recognition using Image Processing in Mobile Devices | |
dc.type | Konferans Bildirisi | |