Work

CrackSight: An Efficient Crack Segmentation Model in Varying Acquisition Ranges and Complex Backgrounds

Year: 2025

Type: article

Source: IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/tase.2025.3591407

Authors: Dariush Amirkhani, Mohand Saïd Allili, Jean-François Lapointe

Institutions: Laurentian University, Université du Québec en Outaouais, National Research Council Canada

Language: English

Topic: Infrastructure Maintenance and Monitoring

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Research Council Canada

OpenAlex ID: W4412536713

FWCI: 2.259

Cites: 90

Cited by: 6

Related to: 10