Fabric defect detection plays an essential role in the textile production process, which was
widely applied in the textile industry. For fabric defect detection, many algorithms have been …

A novel biomarker panel was proposed to quantify macro and microstructural biomarkers
from the normal-appearing brain matter (NABM) in multicentre fluid-attenuation inversion …

Fabric defect inspection is necessary and essential for quality control in the textile industry.
Traditionally, fabric inspection to assure textile quality is done by humans, however, in the …

Polycrystalline solar wafers consist of various crystals and their surfaces have
heterogeneous textures. The conventional defect detection methods cannot be applied to …

This paper presents a novel descriptor, TED, for pedestrian detection in video sequences.
TED describes texture and edge information simultaneously. TED is a local descriptor …

Automatic patterned fabric defect detection is a promising technique for textile manufacturing
due to its low cost and high efficiency. The applicability of most existing algorithms, however …

With the improvement of bamboo mat production, the higher requirements have been
proposed for the using of bamboo strips which makes the defect detection of bamboo strips …

Fabric defect detection is done by humans to assure textile quality traditionally. This paper
proposes an automatic detection scheme using wavelet decomposition for the warp knitting …

In this paper, regular band is presented to detect defects on patterned fabrics. Patterned
fabrics are firstly disposed by fabric average to form object images mixed with positive and …

Some of old photographs are damaged due to improper archiving (eg affected by direct
sunlight, humidity, insects, etc.) or have a physical damage resulting on appearance of …