This paper reviews automated visual-based defect detection approaches applicable to
various materials, such as metals, ceramics and textiles. In the first part of the paper, we …

In this paper, we systematically review recent advances in surface inspection using
computer vision and image processing techniques, particularly those based on texture …

Existing studies on salient object detection (SOD) focus on extracting distinct objects with
edge features and aggregating multi-level features to improve SOD performance. However …

A considerable material discontinuity between the enamel and dentin might jeopardize the
tooth's mechanical durability over time without the attenuation of the dentin-enamel junction …

This paper presents inexpensive computer vision techniques allowing to measure the
texture characteristics of woven fabric, such as weave repeat and yarn counts, and the …

Ensuring the correct fiber orientation in draped textiles and 3D preforms is one of the current
challenges in the production of carbon-fiber reinforced plastics (CFRP), especially in resin …

The recognition of woven fabric pattern is a crucial task for mass manufacturing and quality
control in the textile industry. Traditional methods based on image processing have some …

Abstract When the Discrete Fourier Transform of an image is computed, the image is
implicitly assumed to be periodic. Since there is no reason for opposite borders to be alike …

A new robust recognition algorithm is proposed for fabric weave pattern recognition. The
gray-level images of solid woven fabrics are captured by a color scanner and converted into …

A new image processing approach is proposed for identifying weave patterns of woven
fabrics and automatically displaying harness drafts and chain drafts. Fabric counts are also …