In recent years, the automatic recognition of tree species based on images taken by digital
cameras has been widely applied. However, many problems still exist, such as insufficient …

Digitization through the Internet of Things (IoT) is a key measure for preserving ancient
books. As a crucial aspect of digitization, text detection plays an essential role in the …

Background and Objective Current tongue segmentation methods often struggle with
extracting global features and performing selective filtering, particularly in complex …

Innovative wood inspection technology is crucial in various industries, especially for
determining wood quality by counting rings in each stave, a key factor in wine barrel …

木材作为天然生物材料很容易受到内外界影响从而产生不符合人们生产需求的缺陷,
人们为了准确高效的识别木材缺陷进行了大量的研究. 本文对近年来基于深度学习的木材缺陷 …

Computer vision-based wood identification has been successfully applied to recognize tree
species using digital images of wood sections or surfaces. However, this image-to-species …

Semantic segmentation is a fundamental computer vision task, and deep learning methods
have been successfully applied to this field. However, target morphology continues to exhibit …

Semantic segmentation is an important task in the field of computer vision. However,
Deeplabv3+, which is commonly used for semantic segmentation, has shortcomings, such …

Understanding the macro-mechanical behavior of wood at the micro-scale is of great
significance for the design of cell-wall-like composite materials and pulp papermaking. In …

In the context of illegal logging, it is crucial to identify the wood species that are being traded.
Wood species classification plays a vital role in inspecting the movement of wood in and out …