返回
Wood Crack Detection Based on Data-Driven Semantic Segmentation Network
DOI:10.1109/JAS.2023.123357.png)
摘要
En
Keyword:
DEFECT
ALGORITHM
期刊
I
IF:
19.2
论文数:
1.4K
被引数:
1.1W
机构
引用论文
A new mobile convolutional neural network-based approach for pixel-wise road surface crack detection一种新的基于移动卷积神经网络的路面像素裂缝检测方法
MEASUREMENT
IF5.6
An improved binarization algorithm of wood image defect segmentation based on non-uniform background
Distant regulatory elements in a Sox10‐βGEO BAC transgene are required for expression of Sox10 in the enteric nervous system and other neural crest‐derived tissuesSox10-βgeo BAC转基因中的远距离调控元件是肠神经系统和其他神经源性组织中 Sox10 表达所必需的
DeepCrack: A deep hierarchical feature learning architecture for crack segmentation
NEUROCOMPUTING
IF6.5
Application of deep convolutional neural network on feature extraction and detection of wood defects
MEASUREMENT
IF5.6

