Study of Wool Image Recognition Based on Texture Features

Among researches on parameter extraction in sheep body measurements, wool is one of the important influence factors causing sheep body measurement errors. Wool images were analyzed in this study using ridge regression algorithm, KNN algorithm, and SVM to discriminate wool length. The final body measurement parameters were processed according to the discrimination results in order to reduce the measurement errors caused by non-uniform wool length.