Abstract
This paper aims at the problems of identification of cheese yarn in low resolution pictures. On this basis, a cheese yarn label identification system based on machine vision technology is proposed. By using the improved Hough algorithm, the background of the label is removed. On the basis of transforming images from RGB color space to HSV color space, the color-histograms of the label are obtained. Then, the weights of the neural network are obtained by training the neural network with histogram information, and the neural network is used to judge whether the types of yarns are the same as the samples. As verified by experiments, the stability and accuracy of the method can meet the practical application requirements and could effectively identify the types of cheese yarns.
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Liu, X. et al. (2021). Study on the Type Identification of Cheese Yarn Based on Low-Resolution Pictures. In: Billingsley, J., Brett, P. (eds) Mechatronics and Machine Vision in Practice 4. Springer, Cham. https://doi.org/10.1007/978-3-030-43703-9_23
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DOI: https://doi.org/10.1007/978-3-030-43703-9_23
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