Abstract:

Automatic analysis and measurement of fabric surface is an important problem for textile enterprises. To solve this problem, this paper captured high quality and dense original points cloud of carbon-fiber fabric surface using 3D laser scanning system by adjusting illumination, analyzing organization chart and selecting appropriate scanning scope. According to the distribution of the original points cloud, they are classified and preprocessed in different ways. Scale-independent screened constrains including points constrains and gradient constrains are interpolated in the energy equation of preprocessed points set. Ideal 3D model of fabric surface has been reconstructed. The experimental results show that the average error of the width of yarn which is measured on the model is 0.12mm.

Key words: carbon-fiber fabric, 3-D laser scanning, denoising and filtering, 3-D reconstruction