Aiming at the defect of Local Binary Pattern (LBP) and its variants, this paper presents a new
modeling of the conventional LBP operator for texture classification. Named Attractive-and …

Digital image analysis is a widespread subject progressing continuously. Extracting image
features has become a foremost player in many digital image processing applications …

Accurate detection of wood surface defects plays a pivotal role in enhancing wood grade
sorting precision, maintaining high standards in wood processing quality, and safeguarding …

The bamboo–wood composite container floor (BWCCF) has been wildly utilized in
transportation in recent years. However, most of the common approaches of mechanics …

Automated grading machines that quantify knots are increasingly deployed by lumber mills,
however their use in mill studies that assess lumber quality have been limited. The objective …

This paper presents an image-based method for automatic identification of native wood
charcoal species. For this purpose, handcrafted features based on two configurations of the …

This paper presents an effective hand-crafted texture operator for texture recognition,
referred to as oriented star sampling structure based multi-scale ternary pattern (O3S-MTP) …

Image analysis is an important method for rapidly measuring wood property variation, but it
is infrequently applied to disks collected from forestry studies. The objective of this study was …

Texture image classification, especially for images with substantial changes in rotation,
illumination, scale and point of view, is a fundamental and challenging problem in the field of …

This paper presents an approach to segment the light microscopic images of hardwood
species and then extract only the vessel elements out of the images. In this work, an effort …