The specular reflection and halo effects appearing in the acquired resistor image will result in the difficulty of color band extraction and recognition. 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.Ĭolor-band resistor possessing specular surface is worthy of studying in the area of color image processing and color material recognition. In addition, it utilizes relatively low computational time which makes it suitable for real-time mobile video applications. The proposed method provides a wide range of color classification which includes twelve colors. 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. 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. To achieve this, firstly, a nonlinear filtering is applied to input video frame to smooth intensity variations and remove impulse noises. This paper proposes a real-time video analysis algorithm to read the resistance value of a resistor using a color recognition technique.
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