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
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