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This study proposed to use wavelet transfer to acquire image features, and use back-propagation neural network to classify type of textile texture. Firstly, wavelet transfer is applied to obtain vertical, horizontal and diagonal images of original image, and compute its wavelet energy to take them as texture features of this image. Finally, the back-propagation neural network is adopted to recognize...
In line with the environmental protection trends of the 21st century, bamboo charcoal fiber is invented to meet the requirements of the fields of science and technology. Its special functionalities, namely, antistatic, moisture adsorptive, perspiring, antibacterial, deodorizing, anti-radiation, and far infrared properties make it extremely suitable for applications in medicine, sports, and recreational...
Fabric defect detection and classification plays a very important role for the automatic detection in fabrics. This study refers to the four common seen defects of stretch knitted fabrics: laddering, end-out, hole, and oil spot. First of all, wavelet transfer is applied to obtain its wavelet energy to take them as defect features of this image, and then the back-propagation neural network (BPNN) was...
This paper proposes an approach to texture analysis that could be applied to identify the fabric nature and type of the main weaving texture. Firstly, the RGB color space of original color image is transferred to HSV color space; secondly, wavelet transfer is used to acquire horizontal, vertical and diagonal images of hue and value; and calculate their wavelet energy to take them as texture features...
This study proposed to use wavelet transfer to acquire image hue and value as image features, and use Back-propagation Neural Network Fuzzy Clustering analysis to recognize type of textile texture. Firstly, the RGB color space of original color image is transferred to HSV color space; secondly, wavelet transfer is applied to obtain vertical, horizontal and diagonal images of hue and value, and compute...
This study aimed to establish a set of gray cloth defect inspection module using image processing technique, so as to develop a full intelligent online dynamic gray cloth defect automatic inspection system. Gray cloth defects to be recognized in this study included holes, stains, warp missing, spider web and weft missing. First use wavelet transform and co-occurrence matrix to find features of gray...
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