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Fabric defect detection using deep learning [Derin Ögrenme ile Kumas Hatasi Tespiti]
(24th Signal Processing and Communication Application Conference, SIU 2016, 2016)
Fabric defect detection have importance in terms of sectoral quality. Automatic systems are developed on the defect detection, in this regard many methods are tried to obtain high precision with image processing studies. ...
Evaluation of Fabric Defect Detection Based on Transfer Learning with Pre-trained AlexNet [Onceden E gitilmis AlexNet ile Transfer O'?renmeye Dayali Kumas' Hata Tespitinin Degerlendirilmesi]
(Institute of Electrical and Electronics Engineers Inc., 2019)
Deep learning methods are successful in many different domains such as image, natural language and signal processing. However, the number of samples affects success of deep learning algorithms significantly. Therefore, it ...