Application of Wavelet Transform Method for Textile Material Feature Extraction
نویسندگان
چکیده
During textile manufacturing processing, it is vital to inspect, detect, assess and rectify defects as soon as they emerge. This is particularly important for fabric engineering and finishing, as the fabric quality directly affects the quality of their final products. In textile industry history, visual inspection and classification were common practice. The nature of traditional manual inspection was very repetitive and slow, and defects could be missed due to inspector fatigue, misjudgement and neglect, not mentioning the costs of skilled labour for the task. Automated visual inspection of texture content in digital images plays an important role in detecting textile defects for quality control. A computer based inspection system can be designed to perform 100% defect inspection objectively and consistently. It eliminates inspection error due to human frailty, and saves the costs of skilled inspectors.
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