fabric based on HALCON

 

 

WANG Qing hai

 

(Department of Mechanical Engineering, Henan Mechanical and Electrical 

Vocational College, Zhengzhou 451191, China)

 

 

Abstract: In order to solve the problem of low efficiency, high labor intensity of manual detection of glass fiber fabric quality, a fabric quality online detection system based on machine vision was designed. According to requirements of the field of view and measuring accuracy, the camera, lens and illumination of the image acquisition module were determined, which is favorable to the imaging effect in image processing. In the image processing module based on HALCON, the method of Blob analysis was proposed to detect the defect, the key operators of image segmentation, morphological processing and feature extraction were given, and some samples of glass fiber fabric are detected by using the provided method. The experimental results show that the fabric quality can be detected quickly and easily, and the detected results are reliable, and the provided method can meet the needs of actual production.

 

Key words: glass giber fabric; quality detection; machine vision; HALCON