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Everything about Color normalization

Topic in computer vision concerned with artificial color vision and object recognition

Color normalization is a topic in computer vision concerned with artificial color vision and object recognition. In general, the distribution of color values in an image depends on the illumination, which may vary depending on lighting conditions, cameras, and other factors. Color normalization allows for object recognition techniques based on color to compensate for these variations. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Color normalizationA 5-minute orientation
  2. Skim a recent paper: Robustness of machine learning to color, size change, normalization, and image enhancement on micrograph datasets with large sample differencesInfluential work since 2022
  3. Pick up a classic book: Report of Superintendent of State Colored Normal Schools and Cherokee Indian Normal School of Robeson County for the years 1914-1915 and 1915-1916The most-reprinted book on the subject
  4. Read the landmark paper: Structure-Preserving Color Normalization and Sparse Stain Separation for Histological ImagesCited 824 times
  5. Go sideways: Histogram equalizationA closely related topic
  6. Go sideways: Otsu's methodA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

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