Title:
FIBER DETECTION METHOD AND APPARATUS, AND ELECTRONIC DEVICE
Document Type and Number:
WIPO Patent Application WO/2019/096178
Kind Code:
A1
Abstract:
A fiber detection method and apparatus, and an electronic equipment, relating to the technical field of image recognition. The fiber detection method comprises: obtaining a fiber image to be detected (S101); extracting fiber features of the fiber image to be detected according to a preset deep learning model, the preset deep learning model comprising multiple deep learning models based on a convolutional neural network (S102); and utilizing a classifier trained based on the preset deep learning model to recognize the fiber features, and generating a recognition result of the fiber image to be detected (S103). According to the fiber detection method, independent neural network detection recognition can be performed on each type of fibers by means of the deep learning models based on the convolutional neural network, and therefore, interference on recognition from other fibers during blend fiber detection is eliminated, and the purpose of accurate fiber recognition is achieved.
Inventors:
SCOTT MATTHEW ROBERT (CN)
HUANG DINGLONG (CN)
FU KAI (CN)
GUO SHENG (CN)
HUANG DINGLONG (CN)
FU KAI (CN)
GUO SHENG (CN)
Application Number:
PCT/CN2018/115493
Publication Date:
May 23, 2019
Filing Date:
November 14, 2018
Export Citation:
Assignee:
SHENZHEN MALONG TECH CO LTD (CN)
International Classes:
G06K9/62
Foreign References:
| CN107909107A | 2018-04-13 | |||
| CN106778685A | 2017-05-31 | |||
| CN106960219A | 2017-07-18 | |||
| CN106295629A | 2017-01-04 | |||
| US9436895B1 | 2016-09-06 |
Attorney, Agent or Firm:
CHOFN INTELLECTUAL PROPERTY (CN)
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