Digital Image Processing Techniques
Digital Image Processing Techniques is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 12k research works in it since 1950. 14.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on connected component labeling algorithms, digital tomography, and discrete geometry. It covers topics such as fast labeling algorithms, curvature estimation, topology preservation, and GPU implementation for processing binary images on hexagonal lattices.
- Connected Components
- Labeling
- Digital Tomography
- Topology
- Algorithms
- Curvature Estimation
- Discrete Geometry
- Binary Images
- Hexagonal Lattice
- GPU Implementation
- Research works
- 12k fractional, since 1950
- In the world top 10%
- 1.8k per year above
- Top-10% rate
- 14.3% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -22% the tick is no change
Which countries lead Digital Image Processing Techniques research?
By volume, the United States and China publish the most (162 and 139 works in 2022–2025).
By volume, 2022–2025
- 1 United States 162 works
- 2 China 139 works
- 3 India 81 works
- 4 France 71 works
- 5 Germany 54 works
- 6 Russia 51 works
- 7 Japan 35 works
- 8 Italy 32 works
- 9 United Kingdom 29 works
- 10 Canada 25 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Digital Image Processing Techniques research?
By volume in 2022–2025, Centre National de la Recherche Scientifique publishes the most Digital Image Processing Techniques research, followed by Jeonbuk National University and Niagara University.
By volume, 2022–2025
- 1 Centre National de la Recherche ScientifiqueFrance 9 works
- 2 Jeonbuk National UniversitySouth Korea 6 works
- 3 Niagara UniversityUnited States 6 works
- 4 Lomonosov Moscow State UniversityRussia 4 works
- 5 Eastern Mediterranean UniversityCyprus 4 works
- 6 University of Novi SadSerbia 4 works
- 7 TU WienAustria 4 works
- 8 University of FlorenceItaly 4 works
- 9 Sobolev Institute of MathematicsRussia 3 works
- 10 University of Illinois Urbana-ChampaignUnited States 3 works
Who are the leading researchers in Digital Image Processing Techniques?
The most-cited researchers publishing on Digital Image Processing Techniques include Leonidas Guibas and Vladlen Koltun.
- 1 Leonidas Guibas United States 6.3k citations
- 2 Vladlen Koltun United States 3.3k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Digital Image Processing Techniques research done?
The largest centres of Digital Image Processing Techniques research in 2022–2025 are Beijing (China), Moscow (Russia), Paris (France) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Moscow.
Largest cities, 2022–2025
Where it is the local speciality
- MoscowRU · 22.4 works2.1×
Location quotient: how much more of its research is in Digital Image Processing Techniques than the world average.
Is Digital Image Processing Techniques research growing?
Output in 2018–2022 was 22% lower than in 2013–2017, peaking in 2002.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.