Research on Color Recognition of Urine Test Paper Based on Learning Vector Quantization (LVQ)

A color recognition of urine test paper based on learning vector quantization (LVQ) is proposed. According to the complicated nonlinear relationship of color space transformations, acquire the standard color threshold value. After the normalization processing, establish the color recognition model of urine samples based on LVQ neural network. The results indicate that color recognition of urine samples is feasible and effective by the way of LVQ neural network, compared with the method of color chromatic aberration evaluation, this method could omit the step of color space conversion and is easy to understand and operate, meanwhile, only with the original equipment RGB and color space RGB values, the prediction can be brought about, it is completely necessary to normalize the data with LVQ network in classification processing.