The structure of images

Cited by (1,000)

Items 701–800 of 1,000

1. What is a "Feature"?
   Jan J. Koenderink · 1993 · Journal of Intelligent Systems
2. Scale detection and region extraction from a scale-space primal sketch
   Tony Lindeberg C, Jan‐Olof Eklundh · 2002 · IEEE/CVF International Conference on Computer Vision (ICCV)
3. Noise-robust line detection using normalized and adaptive second-order anisotropic Gaussian kernels
   Gang Wang, Carlos López-Molina, Guillermo Vidal-Diez de Ulzurrun, Bernard De Baets C · 2019 · Signal Processing
4. Monitoring Braided River-Bed Dynamics at the Sub-Event Time Scale Using Time Series of Sentinel-1 SAR Imagery
   Daniele Rossi, Guido Zolezzi, Walter Bertoldi, Alfonso Vitti · 2023 · Remote Sensing
5. Modeling the effect of scale on clustering of spatial points
   Qiliang Liu, Zhilin Li, Min Deng, Jianbo Tang, Xiaoming Mei · 2015 · Computers Environment and Urban Systems
6. A novel planar optode setup for concurrent oxygen and light field imaging: Application to a benthic phototrophic community
   Jan P. Fischer, Frank Wenzhöfer · 2010 · Limnology and Oceanography Methods
7. A Physical Explanation for Natural Image Statistics
   Jan‐Mark Geusebroek, Arnold W. M. Smeulders · 2002 · UvA-DARE (University of Amsterdam)
8. The Monogenic Scale Space on a Rectangular Domain and its Features
   Michael Felsberg, Remco Duits, Luc M. J. Florack · 2005 · International Journal of Computer Vision
9. Scale Space Graph Representation and Kernel Matching for Non Rigid and Textured 3D Shape Retrieval
   Valeria Garro, Andrea Giachetti · 2015 · IEEE Transactions on Pattern Analysis and Machine Intelligence
10. Local-to-global mesh saliency
    Ran Song, Yonghuai Liu, Ralph R. Martin, Karina Rodríguez Echavarria · 2016 · The Visual Computer
11. Diffusion runs low on persistence fast
    Chao Chen, Herbert Edelsbrunner · 2011 · IEEE/CVF International Conference on Computer Vision (ICCV)
12. Sparse representation for coarse and fine object recognition
    T.V. Pham, Arnold W. M. Smeulders · 2006 · IEEE Transactions on Pattern Analysis and Machine Intelligence
13. A fast multi-scale edge detection algorithm
    Benoît Tremblais, Bertrand Augereau · 2004 · Pattern Recognition Letters
14. What is the Best Causal Scale Space for Three-Dimensional Images?
    V. Caselles, Catalina Sbert · 1996 · SIAM Journal on Applied Mathematics
15. Interaction of ON and OFF pathways for visual contrast measurement
    Heiko Neumann B, Luiz Pessoa, Thorsten Hansen · 2008 · Biological Cybernetics
16. Unsupervised watershed-driven region-based image retrieval
    Ioannis Pratikakis, Iris Vanhamel, Hichem Sahli B, Basilis Gatos, Stavros J. Perantonis · 2006 · IEE Proceedings - Vision Image and Signal Processing
17. Segmentation in scale space
    Rolf D. Henkel · 1995 · Lecture notes in computer science
18. Scale-sets image analysis
    Laurent Guigues, H. Le Men · 2004 · Proceedings - International Conference on Image Processing
19. An Image Description for Object Definition, Based on Extremal Regions in the Stack
    Stephen M. Pizer, Jan J. Koenderink, Lawrence M. Lifshitz, Leendert Helmink, Antonie D.J. Kaasjager · 1986 · Information Processing in Medical Imaging
20. Diffusion-enhanced visualization and quantification of vascular anomalies in three-dimensional rotational angiography: Results of an in-vitro evaluation
    Erik H. W. Meijering, Wiro J. Niessen, Joachim Weickert, Max A. Viergever · 2002 · Medical Image Analysis
21. A Framework for Solving Surface Partial Differential Equations for Computer Graphics Applications
    Marcelo Bertalmı́o, Li‐Tien Cheng, Stanley Osher · 2000
22. The Development of Hierarchical Knowledge in Robot Systems
    Hart, Stephen W. · 2019 · Scholarworks (University of Massachusetts Amherst)
23. Entropy Scale-Space
    Benjamin B. Kimia, Allen Tannenbaum, Steven Warren Zucker · 1992 · Springer eBooks
24. Physical Regularization Loss: Integrating Physical Knowledge to Image Segmentation
    Yan Ding, Shuang Li, Huafeng Li, Guanqiu Qi, Baisen Cong, Yunpeng Gong, Zhiqin Zhu · 2026 · International Journal of Computer Vision
25. Provably Scale-Covariant Continuous Hierarchical Networks Based on Scale-Normalized Differential Expressions Coupled in Cascade
    Tony Lindeberg · 2019 · Journal of Mathematical Imaging and Vision
26. Scale Selection
    Tony Lindeberg · 2014 · Springer eBooks
27. The Use of Structure Tensors in the Analysis of Seismic Data
    Maria Faraklioti, Maria Petrou · 2005 · Mathematics in industry
28. Vascular bifurcation detection in scale-space
    Daniel-Marian Baboiu, Ghassan Hamarneh · 2012 · IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA)
29. Towards a parallel component for imaging in PETSc programming environment: a case study in 3-D echocardiography
    Luisa Carracciuolo, Luisa D’Amore, A. Murli · 2005 · Parallel Computing
30. Increasing accuracy and efficiency in FE computations of the Leray‐Deconvolution model
    Abigail L. Bowers, Leo G. Rebholz · 2010 · Numerical Methods for Partial Differential Equations
31. New PDE-based methods for image enhancement using SOM and Bayesian inference in various discretization schemes
    D.A. Karras, George B. Mertzios · 2009 · Measurement Science and Technology
32. Saliency and KAZE features assisted object segmentation
    Prerana Mukherjee, Brejesh Lall · 2017 · Image and Vision Computing
33. U-Net with optimal thresholding for small blob detection in medical images
    Yanzhe Xu, Fei Gao, Teresa Wu, Kevin M. Bennett, Jennifer R. Charlton, Suryadipto Sarkar · 2019 · IEEE International Conference on Automation Science and Engineering (CASE)
34. The Structure of Relief
    Jan J. Koenderink, Andrea J. van Doorn · 1998 · Advances in imaging and electron physics
35. Fechner, information, and shape perception
    Joseph S. Lappin, J. Farley Norman, Flip Phillips · 2011 · Attention Perception & Psychophysics
36. ALPRS - A New Approach for License Plate Recognition Using the SIFT Algorithm
    F. A. Silva, Almir Olivette Artero, Maria Stela Veludo de Paiva, Ricardo Luís Barbosa · 2013 · Signal & Image Processing An International Journal
37. Bone tumor segmentation from MR perfusion images with neural networks using multi-scale pharmacokinetic features
    Alejandro Federico Frangi, Michael Egmont-Petersen, Wiro J. Niessen, Johan H. C. Reiber, Max A. Viergever · 2001 · Image and Vision Computing
38. Scale selection for anisotropic scale-space: application to volumetric tumor characterization
    Kazunori Okada, Dorin Comaniciu, Arun Krishnan · 2004 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
39. Spatio-Temporal Scale Selection in Video Data
    Tony Lindeberg · 2017 · Journal of Mathematical Imaging and Vision
40. The Segmentation of Images via Scale-Space Trees
    Jenny Bangham, J. R. Hidalgo, Richard Harvey, Gavin C. Cawley · 1998 · British Machine Vision Conference (BMVC)
41. CNN architectures for constrained diffusion based locally adaptive image processing
    Csaba Rekeczky · 2002 · International Journal of Circuit Theory and Applications
42. Automated lumen definition from 30 MHz intravascular ultrasound images
    Carolien J. Bouma, Wiro J. Niessen, Karel J. Zuiderveld, Elma J. Gussenhoven, Max A. Viergever · 1997 · Medical Image Analysis
43. An efficient image representation for multiscale analysis
    Stéphane Mallat · 1987 · Topical Meeting on Machine Vision
44. Low level image partitioning guided by the gradient watershed hierarchy
    Ioannis Pratikakis, Hichem Sahli B, Jan P. Cornelis · 1999 · Signal Processing
45. 3D symmetry-curvature duality theorems
    Alan Yuille, Michael Leyton · 1990 · Computer Vision Graphics and Image Processing
46. Knowledge-based tensor anisotropic diffusion of cardiac magnetic resonance images
    Gerardo I. Sanchez-Ortiz, Daniel Rueckert, Peter Burger · 1999 · Medical Image Analysis
47. Image Description Via The Multiresolution Intensity Axis Of Symmetry
    John M. Gauch, Stephen M. Pizer · 2005 · IEEE/CVF International Conference on Computer Vision (ICCV)
48. Image matching using moment invariants
    Prashan Premaratne, Malin Premaratne · 2014 · Neurocomputing
49. Wavelet transform approach to adaptive image denoising and enhancement
    Claudio R. Jung, Jacob Scharcanski · 2004 · Journal of Electronic Imaging
50. Analyzing Perceptual Organization in Information Graphics
    MARTIN P. WATTENBERG, Danyel Fisher · 2004 · Information Visualization
51. Look at the big picture (details will follow)
    Dario L. Ringach · 2002 · Nature Neuroscience
52. Statistical Scale Space Methods
    Lasse Holmström, Leena Pasanen · 2016 · International Statistical Review
53. Mesh free alternate directional implicit method based three dimensional super-diffusive model for benign brain tumor segmentation
    Saroj Kumar Chandra, Manish Kumar Bajpai · 2019 · Computers & Mathematics with Applications
54. Foveal scale-space and the linear increase of receptive field size as a function of eccentricity
    Tony Lindeberg C, Luc M. J. Florack · 1994
55. Toward a Full Probability Model of Edges in Natural Images
    Kim Steenstrup Pedersen, Ann B. Lee · 2002 · Lecture notes in computer science
56. Top-Points as Interest Points for Image Matching
    Bram Platel, E. Balmachnova, Luc M. J. Florack, Bart M. ter Haar Romeny · 2006 · Lecture notes in computer science
57. Feature extraction and classification of ultrasound liver images using haralick texture-primitive features: Application of SVM classifier
    R. Suganya, S. Rajaram · 2013 · International Conference on Recent Trends in Information Technology
58. A nonlinear spatio-temporal diffusion and its application to prefiltering in MPEG-4 video coding
    Hiroyuki Tsuji, Toru Sakatani, Yoshiyuki Yashima, Naoki Kobayashi · 2003 · Proceedings - International Conference on Image Processing
59. Measuring the disorder of vortex lattices in a Bose-Einstein condensate
    Ana Rakonjac, A. L. Marchant, T. P. Billam, J. L. Helm, M. M. H. Yu, S. A. Gardiner, Simon L. Cornish · 2016 · Physical Review A
60. Conditions of Similarity between Hermite and Gabor Filters as Models of the Human Visual System
    Carlos Joel Rivero-Moreno, Stéphane Bres · 2003 · Lecture notes in computer science
61. Extracting natural scales using fourier descriptors
    Paul L. Rosin, Svetha Venkatesh · 1993 · Pattern Recognition
62. 3D shape representation: Transforming polygons into voxels
    Stijn Oomes, Peter R. Snoeren, Tjeerd M. H. Dijkstra · 1997 · Lecture notes in computer science
63. Images: Regular Tempered Distributions
    Luc M. J. Florack, Bart M. ter Haar Romeny, Jan J. Koenderink, Max A. Viergever · 1994 · Springer eBooks
64. Probabilistic multiscale image segmentation by the hyperstack
    Koen L. Vincken · 1995 · Utrecht University Repository (Utrecht University)
65. Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges
    Ylva Jansson, Tony Lindeberg C · 2020 · KTH Publication Database DiVA (KTH Royal Institute of Technology)
66. The robustness of some scale-spaces.
    Richard Harvey, Alison Bosson, Jenny Bangham · 1997
67. Multi-scale Analysis of Discrete Contours for Unsupervised Noise Detection
    Bertrand Kerautret, Jacques‐Olivier Lachaud · 2009 · Lecture notes in computer science
68. Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems
    Won Hwa Kim, Moo Kwon Chung, Vikas Singh · 2013 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
69. Quality Assessment of DIBR-Synthesized Views Based on Sparsity of Difference of Closings and Difference of Gaussians
    Dragana D. Sandic-Stankovic, Dragan Kukolj, Patrick Le Callet · 2022 · IEEE Transactions on Image Processing
70. The many facets of shape
    James T. Todd, Alexander A. Petrov · 2022 · Journal of Vision
71. Vein Segmentation in Infrared Images Using Compound Enhancing and Crisp Clustering
    Marios Vlachos, Evangelos Dermatas · 2008 · Springer eBooks
72. Improving the quality of electron tomography image volumes using pre-reconstruction filtering
    Mauro Maiorca, Eric G. Hanssen, Edmund Kazmierczak, Bohumil Maco, Mikhail Kudryashev, Richard J. Hall, Harry M. Quiney, Leann M. Tilley · 2012 · Journal of Structural Biology
73. A strategy for blood vessels segmentation based on the threshold which combines statistical and scale space filter
    Roberto Rodríguez · 2006 · Computer Methods and Programs in Biomedicine
74. Multiscale segmentation of well logs
    Pieter L. Vermeer, J.A.H. Alkemade · 1992 · Mathematical Geology
75. Efficient computation of Hessian-based enhancement filters for tubular structures in 3D images
    Piotr Orłowski, Maciej Orkisz · 2009 · IRBM
76. Mach bands and multiscale models of spatial vision: The role of first, second, and third derivative operators in encoding bars and edges
    Stuart A. Wallis, Mark A. Georgeson · 2012 · Journal of Vision
77. Smoothing of optical flow using robustified diffusion kernels
    Ashish Doshi, Adrian G. Borş · 2010 · Image and Vision Computing
78. Three-dimensional segmentation of bones from CT and MRI using fast level sets
    Jakub Kratky, Jan Kybic · 2008 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
79. Computer-aided Assessment of Regional Abdominal Fat with Food Residue Removal in CT
    Sokratis K. Makrogiannis, Giorgio Caturegli, Christos A. Davatzikos, Luigi Ferrucci · 2013 · Academic Radiology
80. Structural graph-based morphometry: A multiscale searchlight framework based on sulcal pits
    Sylvain Takerkart, Guillaume Auzias, Lucile Brun, Olivier Coulon · 2016 · Medical Image Analysis
81. Structured Receptive Fields in CNNs
    Jörn-Henrik Jacobsen, Jan C. van Gemert, Zhongyu Lou, Arnold W. M. Smeulders · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
82. Keypoint Detection in RGBD Images Based on an Anisotropic Scale Space
    Maxim Karpushin, Giuseppe Valenzise, Frederic Dufaux A · 2016 · IEEE Transactions on Multimedia
83. RETRACTED ARTICLE: Noise-estimation-based anisotropic diffusion approach for retinal blood vessel segmentation
    Mariem Ben Abdallah, Ahmad Taher Azar, Hichem Guedri, Jihene Malek, Hafedh Belmabrouk · 2017 · Neural Computing and Applications · Retracted
84. Weakly supervised change detection using guided anisotropic diffusion
    Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau · 2021 · Machine Learning
85. Families of tuned scale-space kernels
    Luc M. J. Florack, Bart M. ter Haar Romeny, Jan J. Koenderink, Max A. Viergever · 1992 · Lecture notes in computer science
86. Resolution- Independent Characteristic Scale Dedicated to Satellite Images
    Bin Luo, Jean–François Aujol, Yann Gousseau, Saïd Ladjal, Henri Maı̂tre · 2007 · IEEE Transactions on Image Processing
87. Scale Selection for Compact Scale-Space Representation of Vector-Valued Images
    Iris Vanhamel, Cosmin Mihai, Hichem Sahli B, Antonis Katartzis, Ioannis Pratikakis · 2008 · International Journal of Computer Vision
88. Overlap Analysis of the Images from Unmanned Aerial Vehicles
    Xing Cheng, Jinling Wang, Yaming Xu · 2010 · International Conference on Electrical and Control Engineering
89. Regularization, scale-space, and edge detection filters
    Mads Nielsen, Luc M. J. Florack, Rachid Deriche B · 1996 · Lecture notes in computer science
90. An adaptive approach to scale selection for line and edge detection
    Maria Concetta Morrone, Anacleto Navangione, David C. Burr · 1995 · Pattern Recognition Letters
91. A model of multi-scale perceptual organization in information graphics
    MARTIN P. WATTENBERG, Danyel Fisher · 2004 · IEEE Symposium on Information Visualization
92. A Multiresolution Hierarchical Approach to Image Segmentation Based on Intensity Extrema
    Lawrence M. Lifshitz, Stephen M. Pizer · 1988 · Information Processing in Medical Imaging
93. Multi-scale texture classification from generalized locally orderless images
    Bram van Ginneken, Bart M. ter Haar Romeny · 2002 · Pattern Recognition
94. Lip reading from scale-space measurements
    Richard Harvey, Iain A. Matthews, Jenny Bangham, Simón Cox · 2002 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
95. Image registration using multi-scale texture moments
    Jun Sato, Roberto Cipolla · 1995 · Image and Vision Computing
96. Jump process for the trend estimation of time series
    Shan Zhao, Guannan Wei · 2002 · Computational Statistics & Data Analysis
97. Deformable solid modeling via medial sampling and displacement subdivision
    Andrew Thall, Stephen M. Pizer · 2004
98. Retrieving images by similarity of visual appearance
    Sai Ravela, Raghaven Manmatha · 1997 · IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL)
99. Normative theory of visual receptive fields
    Tony Lindeberg · 2017 · KTH Publication Database DiVA (KTH Royal Institute of Technology)
100. Construction of a scale-space primal sketch
     Lindeberg, T., Eklundh, J. · 1990 · Procedings of the British Machine Vision Conference 1990