Advancing Textile Damage Segmentation: A Novel RGBT Dataset and Thermal Frequency Normalization

Advancing Textile Damage Segmentation: A Novel RGBT Dataset and Thermal Frequency Normalization

RGB-Thermal (RGBT) semantic segmentation is an emerging technology for identifying objects and materials in high dynamic range scenes. Thermal imaging particularly enhances feature extraction at close range for applications such as textile damage detection. In this paper, we present RGBT-Textile, a...

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Bibliographic Details
Main Authors: Farshid Rayhan, Jitesh Joshi, Guangyu Ren, Lucie Hernandez, Bruna Petreca, Sharon Baurley, Nadia Berthouze, Youngjun Cho
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
RGB-Thermal dataset
textile damage detection
semantic segmentation
Online Access:https://www.mdpi.com/1424-8220/25/7/2306
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