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Image analysis

Known as: Artistic image analysis, Geographic Object-Based Image Analysis, Object-based image analysis 
Image analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in… Expand
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Highly Cited
2003
Highly Cited
2003
From the Publisher: The purpose of this book is to provide readers with an in-depth presentation of the principles and… Expand
Highly Cited
2001
Highly Cited
2001
  • S. Li
  • Computer Science Workbench
  • 2001
  • Corpus ID: 12779752
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It… Expand
Highly Cited
1999
Highly Cited
1999
From the Publisher: The book provides the non-specialist with an introduction to quantitative evaluation of satellite and… Expand
Highly Cited
1999
Highly Cited
1999
The first € price and the £ and $ price are net prices, subject to local VAT. Prices indicated with * include VAT for books; the… Expand
Highly Cited
1999
Highly Cited
1999
Medical Image Analysis provides a forum for the dissemination of new research results in the field of medical and biological… Expand
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Highly Cited
1996
Highly Cited
1996
Research has been performed investigating the use of moments for pattern recognition in recent years. The basic problem of the… Expand
Highly Cited
1987
Highly Cited
1987
A new paradigm, Random Sample Consensus (RANSAC), for fitting a model to experimental data is introduced, RANSAC is capable of… Expand
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Review
1983
Review
1983
Image Processing and Mathematical Morphology-Frank Y. Shih 2009-03-23 In the development of digital multimedia, the importance… Expand
Highly Cited
1981
Highly Cited
1981
A new paradigm, Random Sample Consensus (RANSAC), for fitting a model to experimental data is introduced. RANSAC is capable of… Expand
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