Color Feature Extraction

Color Feature Extraction is a feature extraction technique that specifically identifies and quantifies the distribution, intensity, and spatial arrangement of color information in digital images to represent visual content based on chromatic properties.

994

Publications

44.5K

Citations

2.8K

Authors

930

Institutions

Publications per year

2017–2026

266

Authors

2.8K

  1. TG
    Th. Gevers

    University of Amsterdam, Netherlands

    7 publications · 1.9K citations

    7

    h-index

  2. SD
    Sudeep D. Thepade

    Savitribai Phule Pune University, India

    7 publications · 232 citations

    7

    h-index

  3. KD
    Kaushik Deb

    Chittagong University of Engineering & Technology, Bangladesh

    6 publications · 193 citations

    6

    h-index

  4. HB
    H. B. Kekre

    Narsee Monjee Institute of Management Studies, India

    6 publications · 199 citations

    6

    h-index

  5. KN
    Konstantinos N. Plataniotis

    University of Toronto, Canada

    6 publications · 282 citations

    6

    h-index

1–5 of 2.8K

Venues

  1. Pattern Recognition Letters

    23 publications · 1.1K citations

    18

    h-index

  2. IEEE Transactions on Image Processing

    16 publications · 1.5K citations

    14

    h-index

  3. IEEE Access

    12 publications · 474 citations

    12

    h-index

  4. Multimedia Tools and Applications

    14 publications · 315 citations

    12

    h-index

  5. International Journal of Computer Applications

    14 publications · 366 citations

    12

    h-index

1–5