Image-based Condition Assessment

Image-Based Condition Assessment is a diagnostic method within material degradation assessment that utilizes visual data from imaging technologies to evaluate the extent and characteristics of deterioration in materials, distinguished by its reliance on image analysis techniques to extract condition indicators without requiring physical sampling or direct contact.

66

Publications

1.9K

Citations

238

Authors

124

Institutions

Publications per year

2017–2026

30

Authors

238

  1. AB
    Ashutosh Bagchi

    Concordia University, Canada

    3 publications · 53 citations

    3

    h-index

  2. OM
    Osama Moselhi

    Concordia University, Canada

    3 publications · 63 citations

    3

    h-index

  3. CD
    Christian Dietz

    University of Tübingen, Germany

    2 publications · 29 citations

    2

    h-index

  4. VT
    Vivi Tornari

    Foundation for Research and Technology Hellas, Greece

    2 publications · 29 citations

    2

    h-index

  5. FA
    Filipa Alves

    National Research Council, Italy

    2 publications · 29 citations

    2

    h-index

1–5 of 238

Venues

  1. Construction and Building Materials

    3 publications · 114 citations

    3

    h-index

  2. 3

    h-index

  3. Measurement

    2 publications · 36 citations

    2

    h-index

  4. Sensors

    2 publications · 65 citations

    2

    h-index

  5. 2

    h-index

1–5