Depth-wise Squeeze and Excitation Block-based Efficient-Unet model for surface defect detection

H Üzen, M Turkoglu, M Aslan, D Hanbay - The Visual Computer, 2023 - Springer
Detection of surface defects in manufacturing systems is crucial for product quality. Detection
of surface defects with high accuracy can prevent financial and time losses. Recently, efforts …

Texture defect classification with multiple pooling and filter ensemble based on deep neural network

H Uzen, M Turkoglu, D Hanbay - Expert Systems with Applications, 2021 - Elsevier
Fabric quality control is one of the most important phases of production in order to ensure
high-quality standards in the fabric production sector. For this reason, the development of …

An analytical survey of textile fabric defect and shade variation detection system using image processing

T Meeradevi, S Sasikala, S Gomathi… - Multimedia Tools and …, 2023 - Springer
In modern days the detection of defects in textile industries using digital image processing
techniques is an emerging area of research. The faulty fabric is subjected to several image …

Fabric defect detection using ACS-based thresholding and GA-based optimal Gabor filter

R Zhu, B Xin, N Deng, M Fan - The Journal of The Textile Institute, 2024 - Taylor & Francis
Fabric defect detection is closely related to quality control. Therefore, it is an important topic
in the modern textile field. In this article, a new fabric defect detection method using ACS …

A novel hybrid attention gate based on vision transformer for the detection of surface defects

H Üzen, M Turkoglu, D Ozturk, D Hanbay - Signal, Image and Video …, 2024 - Springer
Many advanced models have been proposed for automatic surface defect inspection.
Although CNN-based methods have achieved superior performance among these models, it …

Using deep learning to detect the presence/absence of defects on leather: on the way to build an industry-driven approach

T Adão, D Gonzalez, YC Castilla, J Pérez… - Journal of Physics …, 2022 - iopscience.iop.org
In textile/leather manufacturing environments, as in many other industrial contexts, quality
inspection is an essential activity that is commonly performed by human operators. Error …

Terminal sequence consistency verification method for small diameter abreast optical fibers based on computer vision

Y Wang, L Wang, D Li, Y Liang, L Huang, H Da… - Heliyon, 2024 - cell.com
In a kind of precision industrial equipment, small diameter abreast optical fibers are used for
high-speed communication among functional nodes. The arrangement order at both …

Automatic thresholding method developed with entropy for fabric defect detection

H Üzen, H Firat, D Hanbay - 2019 International Artificial …, 2019 - ieeexplore.ieee.org
Fabric defect detection is one of the most important areas for quality control of products in
the textile industry. Many different studies have developed methods for this problem. In this …

Fabric defect detection using cartoon–texture image decomposition model and visual saliency method

R Zhu, B Xin, N Deng, M Fan - Textile Research Journal, 2023 - journals.sagepub.com
Fabric defect detection is of great importance in the modern textile industry. In actual
production, subjective factors usually affect manual detection, which is prone to problems …

Görüntü İşleme ve Makine Öğrenmesi Yöntemleri ile Baca Gazı Sıcaklığının Tahmin Edilmesi

S Golgiyaz, MF Talu, C Onat - Avrupa Bilim ve Teknoloji Dergisi, 2019 - dergipark.org.tr
Bu makalede, küçük ölçekli fındık kömürü yakıtlı brülörde baca gazı sıcaklığı tahmini ile ilgili
deneysel bir çalışma sunulmaktadır. Baca gazı sıcaklığı yakıt türüne göre belli bir aralıkta …