Segmentation-based Detection

Segmentation-Based Detection is a defect detection method that identifies and localizes anomalies by partitioning an input image into meaningful regions and analyzing each segment for irregularities indicative of defects.

352

Publications

16.8K

Citations

1.3K

Authors

406

Institutions

Publications per year

2017–2026

234

Authors

1.3K

  1. HS
    Hamed Sari‐Sarraf

    Texas Tech University, United States

    5 publications · 225 citations

    5

    h-index

  2. YY
    Yunhui Yan

    Northeastern University, China

    4 publications · 1K citations

    4

    h-index

  3. KS
    Kechen Song

    Northeastern University, China

    4 publications · 1K citations

    4

    h-index

  4. JJ
    Junfeng Jing

    Xi'an Polytechnic University, China

    3 publications · 183 citations

    3

    h-index

  5. TS
    Tung‐Ching Su

    National Quemoy University, Taiwan

    3 publications · 223 citations

    3

    h-index

1–5 of 1.3K

Venues

  1. 14

    h-index

  2. IEEE Access

    14 publications · 531 citations

    14

    h-index

  3. Expert Systems with Applications

    8 publications · 434 citations

    8

    h-index

  4. Sensors

    8 publications · 256 citations

    8

    h-index

  5. Applied Sciences

    8 publications · 355 citations

    8

    h-index

1–5