Many vision-based methods for printed label defect detection have been proposed to
replace inefficient manual inspection. However, due to the existence of artifacts and noise …

Normalized cross correlation (NCC) technique is the most accurate and robust in defect
detection techniques in industry. But its robustness is sensitive against change lighting and …

Due to the intricate and diverse nature of textile defects, detecting them poses an
exceptionally challenging task. In comparison with conventional defect detection methods …

Surface defect detection is challenging due to varying defect types and their novelties.
Because of this, it is hard for algorithms to implement across datasets. Moreover, current …

In the production of digital printing equipment, it is a challenge to detect the printed surface
defects of cylindrical surface like cans. This paper presents an automatic inspection program …

Ceramic tiles having great demands in the field of infrastructure and building development
because of its affordable cost, easy installation, maintenance, moisture resistant property …

This paper addresses the problem of quality inspection of regular textured surfaces as, eg,
encountered in industrial woven fabrics. The motivation for developing a novel approach is …

Weyl's discrepancy measure induces a norm on ℝ n which shows a monotonicity and a
Lipschitz property when applied to differences of index-shifted sequences. It turns out that its …

We propose a state-of-the-art approach that is the first to use Eigen background subtraction
to reveal flaws in three-dimensional Computed Tomography data. Our method is composed …

The effect of non-monotonicity of similarity measures is addressed which can be observed
when measuring the similarity between patterns with increasing displacement. This effect …