Fabric property picture collection and recognition method and system based on deep learning

Abstract

The invention discloses a fabric property picture collection and recognition method based on deep learning. The method comprises the steps that multiple fabric property pictures are acquired, macro information and micro information of the fabric property pictures are collected, and a training set is generated; the training set is trained through a deep learning model; deep features which are trained through the deep learning model and contain global information and local information at the same time are extracted, and linear discriminant analysis is performed on the deep features to complete training of the deep learning model; and fabric recognition is performed through a cosine distance according to the trained deep learning model. Through the method, multiple fabric property recognition problems including weaving process problems, background color process problems, surface process problems, printing process problems, spinning process problems and the like are solved, meanwhile, the trained model contains the local information and the global information at the same time, and the accurate recognition rate and the matching rate of a local pattern and a global pattern of a fabric are increased. The invention furthermore discloses a fabric property picture collection and recognition system based on deep learning.

Description

technical field [0001] The invention relates to the technical field of computer deep learning, in particular to a deep learning-based fabric property picture collection and recognition method and recognition system. Background technique [0002] The automatic identification technology of fabrics has a wide range of applications. It can help merchants and end users to identify fabric attributes accurately and conveniently, and can help online platforms to do accurate fabric retrieval. There are very few products on the market that use image recognition technology to identify fabrics. At present, the only product on the market that uses image recognition technology for fabric recognition can only recognize the pattern on the fabric, but cannot identify the material and process of the fabric. In order to identify subdivided information such as fabric material and craftsmanship, we must collect pictures containing these fine information to train the algorithm model. At present...

AI Technical Summary

Problems solved by technology

There is currently no technology for this kind of local and global matching of objects

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