Method for automatically detecting and classifying textile flaws based on pattern recognition and image processing

An image processing and pattern recognition technology, applied in character and pattern recognition, optical testing flaws/defects, instruments, etc., can solve the problems of high labor intensity, low detection speed and poor accuracy of manual detection.

Active Publication Date: 2013-01-16
XIAN HUODE IMAGE TECH CO LTD
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  • Abstract
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Problems solved by technology

Traditional textile defect detection methods have the disadvantages of low detection speed, poor accuracy, and labor-intensive manual detection.

Method used

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  • Method for automatically detecting and classifying textile flaws based on pattern recognition and image processing
  • Method for automatically detecting and classifying textile flaws based on pattern recognition and image processing
  • Method for automatically detecting and classifying textile flaws based on pattern recognition and image processing

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Embodiment Construction

[0064] The present invention will be described in detail below in combination with specific embodiments.

[0065] The method for automatic detection and classification of textile defects based on pattern recognition and image processing in the present invention is specifically implemented according to the following steps:

[0066] Step 1, constructing the hardware platform of the textile online inspection system based on computer vision;

[0067] Construct the hardware platform of the computer vision-based textile online detection system used in the textile defect detection and classification based on pattern recognition and image processing. Image acquisition card, dual-line array CCD camera and image acquisition card use Camera Link serial communication in Base mode for high-speed data transmission. The analog signal collected by the CCD camera is converted into a digital signal by the image acquisition card and then sent to the computer process;

[0068] Step 2, collectin...

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Abstract

The invention discloses a method for automatically detecting and classifying textile flaws based on pattern recognition and image processing, which is conducted according to the following steps: 1) constructing a device based on the pattern recognition and the image processing; 2) collecting RGB (red-green-blue) color fabric images with the resolution of 2048*2048; 3) preprocessing the collected color fabric images; 4) establishing a method base; 5) searching and locating flaw zones on cloth; 6) collecting the characteristic values of the flaw zones on the cloth; 7) processing the collected characteristic values; and 8) using a 'quantitative conjugate BP (back propagation) neural network algorithm' to classify the data after dimensionality reduction in the step 7). By using the method, the flaws on the cloth can be detected and classified, and the method has the advantages of high detection speed, clear classification and low manual labor intensity.

Description

technical field [0001] The invention belongs to the technical field of textile detection and classification, and relates to a textile defect detection and classification system, in particular to an automatic detection and classification method for textile defects based on pattern recognition and image processing. Background technique [0002] As an indispensable item in people's daily life, textiles have a direct impact on people's quality of life. However, people's pursuit of high quality of life makes the practicality and durability of textiles in the traditional sense unable to meet people's requirements, while fashion and aesthetics are more concerned and sought after by people. In order to meet people's requirements for the aesthetic appearance of textiles, it is the key to prevent defects in textiles, especially for patterned textiles, the existence of defects will seriously affect the aesthetics of textiles. Through the detection of textile defects, the defects in te...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88G01N21/89G06K9/62G06K9/54
Inventor 景军锋李鹏飞李航张缓缓焦阳李江南
Owner XIAN HUODE IMAGE TECH CO LTD
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