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Content Estimation of Foreign Fibers in Cotton Based on Deep Learning
2020
Electronics
Cotton foreign fibers directly affect the quality of a textile product; the less foreign fibers in raw cotton, the higher the quality grade of the textile product. Based on the foreign fiber clean machine, this paper proposed an evaluation method of foreign fiber content using deep learning. First of all, a large number of images of foreign fibers were collected from different production lines and annotated to obtain the mask image dataset of foreign fibers. Secondly, by comparing the image
doi:10.3390/electronics9111795
fatcat:y3d5tl7qsfg3fm4dg7rkfrd5mq