The fabric defect detection technology based on wavelet transform and neural network convergence

Methods to fabric defects detection are varied, but the common method to detect the fabric defect shapes is slow and poor accuracy. Based on wavelet transform and neural network convergence technologies, this paper presents a new detection method on the fabric defect, which takes full advantage of wavelet transform good time-frequency localization characteristics and multi-scale image analysis capabilities on the fabric defect extraction, neural network technology can against defects for precise identification of the fabric for rapid detection.