![]() ![]() ![]() However, these methods are unavailable to various target objects and most of them are only validated at a simulation environment without applying to industrial situations. Many algorithms are considered as classical methods in image processing field such as Fast Fourier Transform, Gabor filter, gray level co-occurrence matrix and Wavelet transform. Most of them can be classified into four classes including structure based, statistics based, model based and spectral analyze based. In recent years, many researches for automatic fabric defect detection have been done at domestic and abroad. ![]() It will be a trend that human vision inspection method is doomed to be eliminated, so a low cost, high performance and real-time detection system is urgently demanded. Vision exhausted, human sight damaged and exponential decline of detection rate will be caused after continuous human vision inspecting. It is reported that the detection rate will be lower than 60 % while an experienced inspector detecting a batch of 2 m-width cloth at the speed of 30 m/s. Although with low efficiency, poor accuracy, high missing rate and human factors, human vision inspection has occupied the dominant position in practical production, which will no longer meets the need of modern textile industry. Actually, defect detection is the main task of product quality checking for the textile enterprises. The existence of defects will drop 45 % to 60 % on the value of fabric according to the statistical data, which has a great effect on its market competitiveness. Matters to the economic benefits, it is crucial for every enterprise to have quality control and product testing in textile industry. ![]()
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