Focusing on Cracks with Instance Normalization Wavelet Layer
Automatic crack detection is challenging, owing to the complex and thin topologies, diversity, and background noises of cracks. Inspired by the wavelet theory, we present an instance normalization wavelet (INW) layer and embed the layer into the deep model for segmentation. The proposed layer employ...
Saved in:
Main Authors: | Lei Guo, Fengguang Xiong, Yaming Cao, Hongxin Xue, Lei Cui, Xie Han |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/1/146 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Feature enhancement and bilinear feature vector fusion for text detection of mobile industrial containers
by: Haiyang HU, et al.
Published: (2022-07-01) -
Detection of the Gear Pair with Crack Defects Based on Double-tree Complex Wavelet
by: Wang Tianyang, et al.
Published: (2022-10-01) -
Deep Learning and Wavelet Transform Combined With Multichannel Satellite Images for Tropical Cyclone Intensity Estimation
by: Chang-Jiang Zhang, et al.
Published: (2025-01-01) -
A lightweight and precision dual track 1D and 2D feature fusion convolutional network for machinery equipment fault diagnosis
by: Chaoquan Mo, et al.
Published: (2024-12-01) -
Behavior Anomaly Detection Based on Multi-modal Feature Fusion and Its Application in English Teaching
by: Lei Kan, et al.
Published: (2025-02-01)