The DOI matches its Crossref record.
Computer Image Processing and Recognition
Abstract
A systematic introduction to the concepts and techniques of computer image processing and recognition is presented. Consideration is given to such topics as image formation and perception; computer representation of images; image enhancement and restoration; reconstruction from projections; digital television, encoding, and data compression; scene understanding; scene matching and recognition; and processing techniques for linear systems.
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Citations
Cited by
Non-parametric Model for Background Subtraction
Elgammal, A., Harwood, D., & Davis, L. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-45053-x_48 · Cited by 2,118
First images from a magnetic resonance force microscope
Züger, O., & Rugar, D. (1993) · Applied Physics Letters · doi:10.1063/1.110460 · Cited by 97
A critical analysis on perceptual contrast and its use in visual information analysis and processing
Beghdadi, A., Qureshi, M. A., Amirshahi, S. A., Chetouani, A., & Pedersen, M. (2020) · IEEE Access · doi:10.1109/access.2020.3019350 · Cited by 31
A Surface Inspection Machine Vision System that Includes Fractal Texture Analysis.
Blackledge, J. (2009) · Dublin Institute of Technology · doi:10.21427/d7qs5j · Cited by 18
Metadata
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1981-01
- Volume
- PAMI-3
- Issue
- 1
- Pages
- 111-112
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W1978396244
- Cited by
- 542
- References
- 0
- FWCI
- 26.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Computer Image Processing and Recognition. https://app.cochat.ai/papers/10.1109/tpami.1981.4767058
- The paper
- Computer Image Processing and Recognition. (1981). IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.1981.4767058
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
