Solid-state batteries with desirable advantages, including high-energy density, wide
temperature tolerance, and fewer safety-concerns, have been considered as a promising …

Defect detection and classification of ceramic tile surface defects occurred in firing units are
usually performed by human observations in most factories. In this paper, an automatic …

Ceramic and tile industries should indispensably include a grading stage to quantify the
quality of products. Actually, human control systems are often used for grading purposes. An …

In this day and age, digital images play a significant role in our day-to-day life. Digital
images are utilized in a wide range of fields like medical, business and more. Besides, the …

Due to the little variation in defect points, tile block defect detection typically detects subtle
defects in large-format images, allowing defective characteristics to be displayed regionally …

Active learning can reduce the human effort required for labeling training samples while
preserving the performance of visual classifiers. However, existing active learning …

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 …

Surface defect detection is one important stage in vision-based quality inspection systems.
According to surface defect description, stone porosity can be categorized as a defect. In this …

This paper presents the industrial parts change recognition model using machine vision
image processing in the framework of industrial information integration and it is applied …

In this paper, we propose four offline data augmentation methods to improve the
performance of convolutional neural network (CNN) on defect detection of sanitary ceramics …