Defect detection is a crucial step in textile and apparel quality control. An efficient defect
detection system can ensure the overall quality of the processes and products that are …

摘要针对织物表面纹理复杂以及缺陷类型多样易混淆导致缺陷分类精度低的问题,
设计了一种基于空间注意力多尺度特征融合的织物表面缺陷分类算法. 使用多尺度金字塔池化 …

The concepts of artificial intelligence (AI) can be successfully employed for solving various
problems and predicting the best solution in knitting. The artificial neural networks which are …

India's textile industry heavily relies on efficient fabric defect detection for maintaining
product quality and production efficiency. This review paper comprehensively analyzes …

The goal of this study is to determine the best picture pattern for the tamarind turmeric herb.
So far, the taste and color of tamarind turmeric herb have not been consistent, as they are …

We present a method of detecting defects and impurities in materials on an example of
knitted fabrics. We describe problems related to the real-time imaging detection system …

The aim of this paper is finding the optimum image pattern of the tamarind turmeric herb. So
far, in the process of producing tamarind turmeric herb, it is not constant in terms of taste and …

Since, fabric classification is a challenging task in the image classification domain, helping
business people to quickly and efficiently categorize fabric patterns is very much needed …

A fabric defect is defined as any abnormality that spoils the aesthetics of the fabric which
hinders its acceptability by the consumer. The defects in the fabric can cause to reduce the …