Fully Automated Fabric Defect Detection Using Additive Wavelet Transform | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 10, Volume 29, Issue 2, July 2020, Page 119-125 PDF (1.37 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2020.103286 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Eman Hussein Saleh1; Mohamed Mohamed Fouad2; Mohamed S. Sayed3; Wael Badawy4; Fathi E. Abd El-Samie5 | ||||
| 1Communication Department, High Institute for Engineering in Belbeis | ||||
| 2Electronic and Communication Department, Faculty of Engineering, Zagazig University. | ||||
| 3Electronic and communication Department, Egypt-Japan University of Science and Technology | ||||
| 4The school of information technology and computer science Nile University Giza Egypt | ||||
| 5Electronic and Communication Department, Faculty of Engineering, Menoufia University | ||||
| Abstract | ||||
| This paper introduces a proposed fabric defect detection technique based on additive wavelet transform. In this paper, à trous wavelet is utilized to extract the approximate sub image at an appropriate level. The objective of the proposed technique is to enhance energy of defective region and attenuate energy of background in the selected level. An improved thresholding method based on statistical calculation is used. | ||||
| References | ||||
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