Unsupervised fabric defects detection based on spatial domain saliency and features clustering
Fabric defects detection plays a critical role in the quality control of textile manufacturing
industry. It is still a challenge to realize accurate fabric defects detection due to variations of …
industry. It is still a challenge to realize accurate fabric defects detection due to variations of …
Brain-inspired interpretable network pruning for smart vision-based defect detection equipment
Detection algorithms play an important role in the life-cycle management of smart vision-
based defect detection equipment. This article proposes a brain-inspired interpretable …
based defect detection equipment. This article proposes a brain-inspired interpretable …
基于深度学习的织物疵点检测研究进展.
贺智明， 彭亚楠 - Wool Textile Journal, 2019 - search.ebscohost.com
针对深度学习在图像处理, 目标检测等领域中的应用, 综述了几种常用的织物疵点检测方法,
主要分为基于结构的方法, 基于频谱的方法, 基于统计的方法, 基于模型的方法和基于学习的方法 …
主要分为基于结构的方法, 基于频谱的方法, 基于统计的方法, 基于模型的方法和基于学习的方法 …