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Topic · Computer Vision and Pattern Recognition

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. 10.1% 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%
1.2k
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+7%
the tick is no change
Largest producer
United States
23% of the 10 largest, 2022-now
Digital Image Processing Techniques

Which countries lead Digital Image Processing Techniques research?

By volume, the United States and China publish the most (186 and 184 works in 2022-now).

By volume, 2022-now

  1. 1 United States 186 works
  2. 2 China 184 works
  3. 3 India 99 works
  4. 4 France 75 works
  5. 5 Germany 64 works
  6. 6 Russia 57 works
  7. 7 Japan 43 works
  8. 8 Italy 35 works
  9. 9 United Kingdom 33 works
  10. 10 Canada 27 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.

United States: 23.1%China: 22.8%India: 12.3%France: 9.4%6 others listed: 32.5%23%largest
United States186 · 23.1%China184 · 22.8%India99 · 12.3%France75 · 9.4%6 others listed261 · 32.5%

Shares of the rows listed above, not of the whole node.

Which institutions lead Digital Image Processing Techniques research?

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Digital Image Processing Techniques research, followed by Russian Academy of Sciences and Chinese Academy of Sciences.

By volume, 2022-now

  1. 1 Centre National de la Recherche ScientifiqueFrance 32 works
  2. 2 Russian Academy of SciencesRussia 13 works
  3. 3 Chinese Academy of SciencesChina 7 works
  4. 4 Niagara UniversityUnited States 7 works
  5. 5 Jeonbuk National UniversitySouth Korea 6 works
  6. 6 Helmholtz Association of German Research CentresGermany 6 works
  7. 7 City University of New YorkUnited States 5 works
  8. 8 Lomonosov Moscow State UniversityRussia 5 works
  9. 9 TU WienAustria 4 works
  10. 10 Eastern Mediterranean UniversityCyprus 4 works

Who are the leading researchers in Digital Image Processing Techniques?

The most-cited researchers publishing on Digital Image Processing Techniques include Andrew Zisserman, Patrick W.J.C. Serruys and Paul M. Thompson.

  1. 1 Andrew Zisserman United Kingdom 255k citations
  2. 2 Patrick W.J.C. Serruys Netherlands 206k citations
  3. 3 Paul M. Thompson United States 196k citations
  4. 4 Luc Van Gool Switzerland 177k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Digital Image Processing Techniques?

The most cited paper in Digital Image Processing Techniques is "Use of the Hough transformation to detect lines and curves in pictures" (Richard O. Duda, Peter E. Hart, 1972), with 6,653 citations. Next come "Efficient Graph-Based Image Segmentation" (6,257) and "Statistical and structural approaches to texture" (5,789).

Most cited papers
#PaperReleasedCitations
1 Use of the Hough transformation to detect lines and curves in pictures Richard O. Duda, Peter E. Hart · Communications of the ACM Open access 1972 6,653
2 Efficient Graph-Based Image Segmentation Pedro F. Felzenszwalb, Daniel P. Huttenlocher · International Journal of Computer Vision 31 Mar 2004 6,257
3 Statistical and structural approaches to texture R.M. Haralick · Proceedings of the IEEE 1979 5,789
4 Watersheds in digital spaces: an efficient algorithm based on immersion simulations Luc M. Vincent, Pierre Soille · IEEE Transactions on Pattern Analysis and Machine Intelligence Jun 1991 5,678
5 The quickhull algorithm for convex hulls C. Bradford Barber, David Dobkin, Hannu T. Huhdanpaa · ACM Transactions on Mathematical Software Open access Dec 1996 5,441
All 98 most cited papers, with filters and sorting

Where is Digital Image Processing Techniques research done?

The largest centres of Digital Image Processing Techniques research in 2022-now 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 Paris.

Largest cities, 2022-now

  1. 1 BeijingChina 29 works
  2. 2 MoscowRussia 25 works
  3. 3 ParisFrance 21 works
  4. 4 ShanghaiChina 15 works
  5. 5 ChennaiIndia 13 works
  6. 6 NanjingChina 13 works
  7. 7 TokyoJapan 11 works
  8. 8 Xi'anChina 9 works
  9. 9 BudapestHungary 9 works
  10. 10 New YorkUnited States 8 works

Where it is the local speciality

  1. ParisFR · 21.2 works2.1×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Digital Image Processing Techniques than the world average.

See Digital Image Processing Techniques on the map

Is Digital Image Processing Techniques research growing?

Output in 2022-2025 was 7% higher than in 2018-2021, peaking in 2002. The fastest-growing topics are Digital Image Processing Techniques.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Digital Image Processing Techniques as a percentage of every work published that year, 0.0055% in 2024.

still counting0.020%0.040%Digital Image Processing Techniques0.0058% in 202519801990200020102020

Fractional works of Digital Image Processing Techniques over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Digital Image Processing Techniques10.5% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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