Fabric Defects Detection Using Multi-Scale Wavelet and Locating
In this paper, multi-scale wavelet edge detection approach is investigated for real time inspection of diversified fabric texture. Multi-scale edge detectors smooth the signal at various scales and detect sharp variations points from their first or second order derivative. The extreme values of the first derivative correspond to the zero crossings of the second derivative and to the inflection points of the smoothed signal. Quadtree decomposition of segmented defects shows pinpoint location of specific web flaw. Further, preliminary graphical user interface (GUI) was designed so as to facilitate operation. After integrate GUI with procedure, parameters material can be acquired, which is vital to applying the inspection system on industrial PC.
Rui Wang and Huawu Liu
J. F. Jing et al., "Fabric Defects Detection Using Multi-Scale Wavelet and Locating", Advanced Materials Research, Vol. 331, pp. 481-484, 2011