Automatic cotton defect detection device

Abstract

The invention discloses an automatic cotton defect detection device which comprises a detection box, wherein an LED front lighting lamp is arranged at the top of the detection box; a camera is arranged at the bottom of the detection box; a piece of frosted glass which is fixed on the detection box is arranged below the LED front lighting lamp; a transparent sample box which is used for placing cotton samples is arranged between the frosted glass and the camera; the camera is connected with a computer image processing system; the computer image processing system is used for respectively capturing the background images and the transmission light images of the cotton samples, carrying out difference processing to obtain difference images, carrying out filtration on the mid-value of the difference images to obtain filtered images, carrying out binary division on the filtered images to primarily divide the cotton defects from the background, carrying out full scan on the divided images to ensure that the areas of the cotton defects in the images are labeled by using a seed filling algorithm, recording the pixel points of the filling and comparing with a set limiting value to obtain the number of the defects in the cotton samples; and the detection process is automatically finished, so that the detection efficiency and the detection correctness are improved.

Description

technical field [0001] The invention relates to the field of cotton detection, in particular to an automatic detection device for cotton defects. Background technique [0002] It is known that in the field of textiles, the quality of cotton ginning is one of the important quality indicators of cotton. Due to poor growth and development of cotton and poor ginning, cotton defects that are harmful to spinning will be formed; the current detection of cotton defects Generally, the manual method is adopted. The national cotton standard GB1103.1-2012 implemented in 2013 specifically added GB / T6103 "Manual Method for Raw Cotton Defect Test Method", which regards the quality of ginning as an independent quality index, and establishes the physical quality of ginning. The standard stipulates the inspection method; however, due to the large number of defects in many cottons and the small size, the naked eye inspection is easy to fatigue, the work continuity is poor, the efficiency is lo...

AI Technical Summary

Problems solved by technology

[0002] As known, in the field of textiles, the quality of cotton ginning is one of the important quality indicators of cotton. Due to poor growth and development of cotton and poor ginning, cotton defects that are harmful to spinning will be formed; the current detection of cotton defects Generally, the manual method is adopted. The national cotton standard GB1103.1-2012 implemented in 2013 specifically added GB / T6103 "Manual Method for Raw Cotton Defect Test Method", which regards the quality of ginning as an independent quality index, and establishes the physical quality of ginning. The standard specifies the inspection method; however, due to the large number of defects in cotton and small size, the naked eye inspection is easy to fatigue, the work continuity is poor, the efficiency is low, and the consistency of different people's inspection results is not good, and the accuracy is poor.

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