Fabric Defect Detection Based on Fusion Technology of Multiple Algorithm

摘要：

As the variety of fabric defects, it is difficult that there has an image processing algorithm suitable for the detection of all defects. A new method was presented for defect detection. Normal texture is filtered by Fourier transform in the frequency domain and it is increased to the serious defect information. Wavelet single decomposition and approximate sub-image filtering are combined to inhibit the normal texture high frequency and low frequency information, and to enhance the contrast of common defect information. The normal texture information and defect information are separated by orthogonal wavelet multi-decomposition for discrete small defect detection.On this basis, the image characteristics are extracted in sub-windows of image; then the defects are identified by neural network. Experimental results show that the method is effectiveness.

关键词： Multiple algorithm Fusion technolog Fourier transform Wavelet transform Defect detection

作者: Shengqi Guan

作者单位: College of mechanical & electronic Engineering Xian Polytechnic University Xian, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 2234-2238

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）