Fabric Defect Recognition Algorithm

In the textile industry, quality control is very important, and the examination of fabric is an important part. The purpose of the fabric defects identification is to discover them in the time in the weaving and examing of the cloth process and reduce the fabric quality drop which causes by the defects as far as possible through the repair and the reorganization.Based on the study and research of the development of the automatic deceting technology, the detection of fabric defects by digital image processing and analyzing technique is studied,two kinds of fabric defects end out and miss pick are researched in the thsis, then improve the identification algorithm,enhance the identification speed,reduce the computing time. At the same time,to make the program run fast and more effective in the developing,the co-programming with VC++ and Matlab is used in this thesis.The main work done in the thsis : primitive fabric images obtained by the hardware equipment are input to the computer,then the primitive fabric images will be converted to grayscale images, further converted to index image, and then use the 3×3 window in the value of image filter to remove noise treatment, reuse of the histogram provides enhanced image contrast. Completed on the basis of image preprocessing, the image rapid detection, the judgement of the presence of faults image, the image containing defects wavelet transform, the details are vertical and horizontal images, and normalization of fabric are all eigenvalues curve , and the fabric belt defect image and the characteristics of the normal curve of the fabric eigenvalue curve comparisons of different characteristics of different types of faults on the response is different, and thus judged the existence of a defect.Through the analysis of the results, the defects identification algorithm proposed in this thesis can exactly detect the defects of end out and miss pick on the tabby fabric.