مقاله تشخیص نقص پارچه الگوی تغییر شکل پذیر با یادگیری عمیق مبتنی بر معیار فیشر

عنوان مقاله فارسی: تشخیص نقص پارچه الگوی تغییر شکل پذیر با یادگیری عمیق مبتنی بر معیار فیشر عنوان مقاله لاتین: Deformable Patterned Fabric Defect Detection With Fisher Criterion-Based Deep Learning نویسندگان: Yundong Li; Weigang Zhao; Jiahao Pan تعداد صفحات: 8 سال انتشار: 2017 زبان: لاتین Abstract: In this paper, we propose a discriminative representation for patterned fabric defect detection when only limited negative samples are available. Fabric patches are efficiently classified into defectless and defective categories by Fisher criterion-based stacked denoising autoencoders (FCSDA). First, fabric images are divided into patches of the same size, and both defective and defectless samples are utilized to train FCSDA. Second, test patches are classified through FCSDA into defective and defectless categories.