Image Feature Extraction

Image Feature Extraction is a computational process in image quantification that identifies and isolates distinctive, measurable characteristics from digital images to facilitate subsequent analysis, distinguished by its focus on transforming raw pixel data into meaningful representations such as edges, textures, shapes, or keypoints.

3.3K

Publications

164.2K

Citations

10.3K

Authors

2.6K

Institutions

Publications per year

2017–2026

1.4K

Authors

10.3K

  1. SD
    Sudeep D. Thepade

    Savitribai Phule Pune University, India

    21 publications · 539 citations

    14

    h-index

  2. HB
    H. B. Kekre

    Narsee Monjee Institute of Management Studies, India

    13 publications · 386 citations

    12

    h-index

  3. MZ
    Mengjie Zhang

    Victoria University of Wellington, New Zealand

    14 publications · 671 citations

    11

    h-index

  4. DZ
    David Zhang

    Hong Kong Polytechnic University, Hong Kong SAR China

    9 publications · 4K citations

    9

    h-index

  5. KD
    Kunio Doi

    University of Chicago, United States

    9 publications · 1.2K citations

    9

    h-index

1–5 of 10.3K

Venues

  1. IEEE Access

    95 publications · 4.4K citations

    35

    h-index

  2. IEEE Transactions on Image Processing

    60 publications · 5.7K citations

    33

    h-index

  3. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 45 publications · 10.6K citations

    33

    h-index

  4. Pattern Recognition

    46 publications · 4.9K citations

    31

    h-index

  5. Sensors

    43 publications · 1.8K citations

    25

    h-index

1–5