Proceedings Article | 10 January 2014
KEYWORDS: RGB color model, Resistors, Error analysis, Gold, Image processing, Systems modeling, Pattern recognition, Resistance, Image segmentation, Visualization
In a previous study, we examined color spaces to read resistor lines of 11 different colors (black, brown, red, orange,
yellow, green, blue, purple, gray, white, and gold). However, the color classification experiment was carried out only
under a certain illumination. In order effectively to classify real resistor color lines, the color classification under various
illumination conditions must be considered. In this paper, we examine 10 color features (RGB, XYZ, YCbCr, YIQ, HSI,
HSV, HLS, L*u*v*, L*a*b*, and I1I2I3) under the various illumination. The experimental results show the effectiveness
of the L*u*v* color feature. Furthermore, in a very small training sample size situation, the classification performance of
the u*v* feature vector except for an intensity element L* outperforms that of L*u*v*.
