Abstract
Fabric defect detection and classification plays a very import role in automatic inspection for textile. With the use of wavelet transformation and gray-level co-occurrence matrix to extract feature value of nonwoven image, then grey relational analysis of grey theory is availed to conduct the classification of uniformity of nonwoven. Of these processes, they care carried out mainly to discover uneven images for nonwoven, and proceed with classification study. Grey relation analysis can be used to find out the relation with selection feature indicators upon each factor to be studied and analyzed through some images processing through random factor sequence, and the highest relation is followed to determine the uneven images for nonwoven.
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