The structure of images

Cited by (1,000)

Items 601–700 of 1,000

1. Topological Numbers and Singularities in Scalar Images: Scale-Space Evolution Properties
   Stiliyan Kalitzin, Bart M. ter Haar Romeny, Alfons H. Salden, P. F. M. Nacken, Max A. Viergever · 1998 · Journal of Mathematical Imaging and Vision
2. Retrospective registration of tomographic brain images
   J. B. Antoine Maintz · 1996 · Utrecht University Repository (Utrecht University)
3. On a System of Adaptive Coupled PDEs for Image Restoration
   V. B. Surya Prasath, Дмитрий Александрович Воротников · 2012 · Journal of Mathematical Imaging and Vision
4. Composed complex-cue histograms: An investigation of the information content in receptive field based image descriptors for object recognition
   Oskar Linde, Tony Lindeberg · 2011 · Computer Vision and Image Understanding
5. Hierarchical image simplification and segmentation based on Mumford–Shah-salient level line selection
   Yongchao Xu, Thierry Géraud, Laurent Alain Najman · 2016 · Pattern Recognition Letters
6. Brain-inspired algorithms for retinal image analysis
   Bart M. ter Haar Romeny, Erik J. Bekkers, Jiong Zhang, Samaneh Abbasi-Sureshjani, Fan Huang, Remco Duits, Behdad Dashtbozorg, Tos T. J. M. Berendschot, Iris Smit-Ockeloen, Koen A. J. Eppenhof et al. · 2016 · Machine Vision and Applications
7. A Novel Weight-Shared Multi-Stage CNN for Scale Robustness
   Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara · 2018 · IEEE Transactions on Circuits and Systems for Video Technology
8. Enhancing SNR by Anisotropic Diffusion for Brillouin Distributed Optical Fiber Sensors
   Kuo Luo, Biwei Wang, Nan Guo, Kuanglu Yu, Changyuan Yu, Chao Lü · 2020 · Journal of Lightwave Technology
9. Potential-Field Filters for Gravity and Magnetic Interpretation: A Review
   Pablo A. Núñez Demarco, A. Bonilla, Leda Sánchez Bettucci, Claudia Prezzi · 2022 · Surveys in Geophysics
10. POI Detection Using Channel Clustering and the 2D Energy Tensor
    Michael Felsberg, Gösta H. Granlund · 2004 · Lecture notes in computer science
11. GET: The Connection Between Monogenic Scale-Space and Gaussian Derivatives
    Michael Felsberg, Ullrich Köthe · 2005 · Lecture notes in computer science
12. Vision in the real world: Finding, attending and recognizing objects
    Mårten Björkman, Jan‐Olof Eklundh · 2006 · International Journal of Imaging Systems and Technology
13. Basic Linear Filtering with Application to Image Enhancement
    Alan Conrad Bovik, Scott T. Acton · 2009 · Elsevier eBooks
14. Scale-Space Tracking of Critical Points in 3D Vector Fields
    Thomas Klein, Thomas Ertl · 2007 · Mathematics and visualization
15. A multiscale approach to connectivity
    Ulisses Braga-Neto, John I. Goutsias · 2003 · Computer Vision and Image Understanding
16. EXTRACTION OF HANDWRITTEN DATA FROM NOISY GRAY-LEVEL IMAGES USING A MULTISCALE APPROACH
    Mohamed Cheriet · 1999 · International Journal of Pattern Recognition and Artificial Intelligence
17. An anisotropic diffusion PDE for noise reduction and thin edge preservation
    Zhouchen Lin, Qingyun Shi · 2003 · International Conference on Image Analysis and Processing
18. Receptive field assembly pattern specificity
    Jan J. Koenderink, Andrea J. van Doorn · 1992 · Journal of Visual Communication and Image Representation
19. A General Framework for Geometry-Driven Evolution Equations
    Wiro J. Niessen, Bart M. ter Haar Romeny, Luc M. J. Florack, Max A. Viergever · 1997 · International Journal of Computer Vision
20. Meaningful Scales Detection along Digital Contours for Unsupervised Local Noise Estimation
    Bertrand Kerautret, Jacques‐Olivier Lachaud · 2012 · IEEE Transactions on Pattern Analysis and Machine Intelligence
21. Elimination of unsteady background reflections in PIV images by anisotropic diffusion
    Sagar Adatrao, Andrea Sciacchitano · 2019 · Measurement Science and Technology
22. Deep Image Sensing and Retrieval Using Suppression, Scale Spacing and Division, Interpolation and Spatial Color Coordinates With Bag of Words for Large and Complex Datasets
    Khawaja Tehseen Ahmed, Humaira Afzal, Muhammad Rafiq Mufti, Arif Mehmood, Gyu Sang Choi · 2020 · IEEE Access
23. Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory
    Silvia L. Pintea, Nergis Tömen, Stanley F. Goes, Marco Loog, Jan C. van Gemert · 2021 · IEEE Transactions on Image Processing
24. Vision-Based Indoor Localization for Unmanned Aerial Vehicles
    Jeong-Oog Lee, Taesam Kang, Keun-Hwan Lee, Sung Kyu Im, Jungkeun Park · 2010 · Journal of Aerospace Engineering
25. Invertible Apertured Orientation Filters in Image Analysis
    Stiliyan Kalitzin, Bart M. ter Haar Romeny, Max A. Viergever · 1999 · International Journal of Computer Vision
26. P-Laplacian Driven Image Processing
    Arjan Kuijper · 2007 · Proceedings - International Conference on Image Processing
27. Three snippets of curve evolution theory in computer vision
    Allen Tannenbaum · 1996 · Mathematical and Computer Modelling
28. Computer vision and digital imaging technology in melanoma detection
    H. Voigt, Richarda Claßen · 2002 · Seminars in Oncology
29. Real-time, accurate depth of field using anisotropic diffusion and programmable graphics cards
    Marcelo Bertalmı́o, P. Fort, Daniel Sánchez-Crespo · 2004 · International Symposium on 3D Data Processing, Visualization and Transmission
30. Image retrieval by appearance
    Sai Ravela, Raghaven Manmatha · 1997 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
31. Defining anatomical structures from medical images
    Edward L. Chaney, Stephen M. Pizer · 1992 · Seminars in Radiation Oncology
32. Stereo image analysis for multi-viewpoint telepresence applications
    M.Ebroul Izquierdo · 1998 · Signal Processing Image Communication
33. Fast and accurate autofocus control using Gaussian standard deviation and gradient-based binning
    Peter DiMeo, Lu Sun, Xian Du · 2021 · Optics Express
34. Local bone enhancement fuzzy clustering for segmentation of MR trabecular bone images
    Jenny Folkesson, Julio Carballido‐Gamio, F. Eckstein, Thomas M. Link, Sharmila Majumdar · 2009 · Medical Physics
35. A Survey of Architecture and Function of the Primary Visual Cortex (V1)
    Jeffrey Ng, Anil Anthony Bharath, Li Zhaoping A · 2006 · EURASIP Journal on Advances in Signal Processing
36. MEASURING BORDER IRREGULARITY AND SHAPE OF CUTANEOUS MELANOCYTIC LESIONS
    Tim Kam Lee · 2001
37. Optimal local weighted averaging methods in contour smoothing
    R. Legault, C.Y. Suen · 1997 · IEEE Transactions on Pattern Analysis and Machine Intelligence
38. Smart nonlinear diffusion: a probabilistic approach
    Yufang Bao, Hamid Krim · 2004 · IEEE Transactions on Pattern Analysis and Machine Intelligence
39. Fragmentation in the vision of scenes
    Geusebroek, Smeulders · 2003 · IEEE/CVF International Conference on Computer Vision (ICCV)
40. Kohonen networks for multiscale image segmentation
    S. Haring, Max A. Viergever, Joost N. Kok · 1994 · Image and Vision Computing
41. Probabilistic segmentation of partial volume voxels
    Koen L. Vincken, André S. E. Koster, Max A. Viergever · 1994 · Pattern Recognition Letters
42. Multiscale recursive medians, scale-space, and transforms with applications to image processing
    Jenny Bangham, P.D. Ling, Rupert C. D. Young · 1996 · IEEE Transactions on Image Processing
43. Heuristic Linking Models in Multiscale Image Segmentation
    André S. E. Koster, Koen L. Vincken, Cornelis N. de Graaf, Olaf C. Zander, Max A. Viergever · 1997 · Computer Vision and Image Understanding
44. Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser
    Zahra Kadkhodaie, Eero P. Simoncelli · 2020 · arXiv (Cornell University)
45. Wavelet Flow: Fast Training of High Resolution Normalizing Flows
    Jason J. Yu, Konstantinos G. Derpanis, Marcus A. Brubaker · 2020 · arXiv (Cornell University)
46. On detecting all saddle points in 2D images
    Arjan Kuijper · 2004 · Pattern Recognition Letters
47. Multi-scale algorithm for improved scintillation detection in a CCD-based gamma camera
    Marc A. N. Korevaar, Jan W T Heemskerk, Marlies C Goorden, Freek J. Beekman · 2009 · Physics in Medicine and Biology
48. A segmentation algorithm for SAR images based on the anisotropic heat diffusion equation
    Gui Gao, Lingjun Zhao, Jun Zhang, Diefei Zhou, Jijun Huang · 2008 · Pattern Recognition
49. On Automatic Absorption Detection for Imaging Spectroscopy: A Comparative Study
    Zhouyu Fu, Antonio Robles‐Kelly, Terry Caelli, Robby T. Tan · 2007 · IEEE Transactions on Geoscience and Remote Sensing
50. Nonlinear Scale Space with Spatially Varying Stopping Time
    Guy Gilboa · 2008 · IEEE Transactions on Pattern Analysis and Machine Intelligence
51. Well-posed anisotropic diffusion for image denoising
    Michele Ceccarelli, Valentina De Simone, A. Murli · 2002 · IEE Proceedings - Vision Image and Signal Processing
52. Local scale controlled anisotropic diffusion with local noise estimate for image smoothing and edge detection
    Ping Liang, Y.F. Wang · 2002 · IEEE/CVF International Conference on Computer Vision (ICCV)
53. A Multiscale Geometric Model of Human Vision
    Bart M. ter Haar Romeny, Luc M. J. Florack · 1997 · Springer eBooks
54. Qualitative Multiscale Feature Hierarchies for Object Tracking
    Lars Bretzner, Tony Lindeberg C · 2000 · Journal of Visual Communication and Image Representation
55. Noise reduction in computerized tomography images by means of polynomial transforms
    Boris Escalante Ramírez, Jean-Bernard Martens · 1992 · Journal of Visual Communication and Image Representation
56. Multiscale Approach to Image Sequence Analysis
    Wiro J. Niessen, James S. Duncan, Mads Nielsen, Luc M. J. Florack, Bart M. ter Haar Romeny, Max A. Viergever · 1997 · Computer Vision and Image Understanding
57. Geometrical PDEs based on second-order derivatives of gauge coordinates in image processing
    Arjan Kuijper · 2008 · Image and Vision Computing
58. Uncovering locally characterizing regions within geotagged data
    Bart Thomée, Adam Rae · 2013 · International World Wide Web Conference (WWW)
59. Sobolev gradient preconditioning for image‐processing PDEs
    Walter B. Richardson · 2006 · Communications in Numerical Methods in Engineering
60. Multiscale Corner Detection of Gray Level Images Based on Log-Gabor Wavelet Transform
    Xinting Gao, Farook Sattar, Ronda Venkateswarlu · 2007 · IEEE International Conference on Acoustics Speech and Signal Processing
61. The Hermite Transform: A Survey
    Jean-Bernard Martens · 2006 · EURASIP Journal on Advances in Signal Processing
62. A multiresolution diffused expectation–maximization algorithm for medical image segmentation
    Giuseppe Boccignone, Paolo Napoletano, Vittorio Caggiano, Mario Ferraro · 2005 · Computers in Biology and Medicine
63. Seeing through the blur
    Hossein Mobahi, C. Lawrence Zitnick, Yi Ma · 2012 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
64. Regularized depth from defocus
    Vinay P. Namboodiri, Subhasis Chaudhuri, Sunil Hadap · 2008 · Proceedings - International Conference on Image Processing
65. A Theory of Phase Singularities for Image Representation and its Applications to Object Tracking and Image Matching
    Yu Qiao, Wei Wang, Nobuaki Minematsu, Jianzhuang Liu, Mitsuo Takeda, Xiaoou Tang · 2009 · IEEE Transactions on Image Processing
66. On automatic selection of temporal scales in time-causal scale-space
    Tony Lindeberg · 1997 · Lecture notes in computer science
67. Domain decomposition methods in image denoising using Gaussian curvature
    Dmitry K. Firsov, Shiu Hong Lui · 2005 · Journal of Computational and Applied Mathematics
68. Idealized Computational Models for Auditory Receptive Fields
    Tony Lindeberg C, Anders Friberg · 2015 · PLoS ONE
69. 3D shape from anisotropic diffusion
    Paolo Favaro, Stanley Osher, Stefano Soatto, Luminita A. Vese · 2003 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
70. Numerical Schemes of Shock Filter Models for Image Enhancement and Restoration
    Lakhdar Remaki, Mohamed Cheriet · 2003 · Journal of Mathematical Imaging and Vision
71. On computing global similarity in images
    Sai Ravela, Raghaven Manmatha · 2002 · Proceedings
72. The hierarchical structure of images
    Arjan Kuijper, Luc M. J. Florack · 2003 · IEEE Transactions on Image Processing
73. Hierarchical pre-segmentation without prior knowledge
    Arjan Kuijper, Luc M. J. Florack · 2002 · IEEE/CVF International Conference on Computer Vision (ICCV)
74. An improved nonlinear anisotropic model with p(x)‐growth conditions applied to image restoration and enhancement
    Hamza Alaa, Nour Eddine Alaa, Anass Bouchriti, Abderrahim Charkaoui · 2024 · Mathematical Methods in the Applied Sciences
75. Critical Nets and Beta-Stable Features for Image Matching
    Steve Gu, Ying Zheng, Carlo Tomasi · 2010 · Lecture notes in computer science
76. Toward designing intelligent PDEs for computer vision: An optimal control approach
    Risheng Liu, Zhouchen Lin, Wayne Zhang, Kewei Tang, Zhixun Su · 2012 · Image and Vision Computing
77. Morphological Counterparts of Linear Shift-Invariant Scale-Spaces
    Martin Schmidt, Joachim Weickert · 2016 · Journal of Mathematical Imaging and Vision
78. A Study on Image Edge Detection Using the Gradients
    Pinaki Pratim Acharjya, Ritaban Das, Dibyendu Ghoshal · 2012
79. A fractional differential fidelity-based PDE model for image denoising
    Qianting Ma, Fangfang Dong, De-Xing Kong · 2017 · Machine Vision and Applications
80. Bayesian inference applied to the electromagnetic inverse problem
    David Maria Schmidt, John S. George, C. C. Wood · 1999 · Human Brain Mapping
81. Partial differential equations and mathematical morphology
    Frédéric Cao · 1998 · Journal de Mathématiques Pures et Appliquées
82. Realizing Visual Functions with the Reaction–Diffusion Mechanism
    Atsushi Nomura, Makoto Ichikawa, Hidetoshi Miike, 麻由美 海老原, Hitoshi Mahara, Tatsunari Sakurai · 2003 · Journal of the Physical Society of Japan
83. Invertible orientation bundles on 2D scalar images
    Stiliyan Kalitzin, Bart M. ter Haar Romeny, Max A. Viergever · 1997 · Lecture notes in computer science
84. Nonlinear scale-space
    Luc M. J. Florack, Alfons H. Salden, Bart M. ter Haar Romeny, Jan J. Koenderink, Max A. Viergever · 1995 · Image and Vision Computing
85. Feature Selection for 2 D and 3 D Face Recognition
    Mohammed Bennamoun, Yulan Guo, Ferdous Ahmed Sohel · 2015 · Wiley Encyclopedia of Electrical and Electronics Engineering
86. Tracking and describing deformable objects using active contour models
    Frédéric Fol Leymarie · 1990 · eScholarship@McGill (McGill)
87. Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields
    Evan Shelhamer, Dequan Wang, Trevor Darrell · 2019 · arXiv (Cornell University)
88. Bone and joint enhancement filtering: Application to proximal femur segmentation from uncalibrated computed tomography datasets
    Bryce A. Besler, Andrew S. Michalski, Michael T. Kuczynski, Aleena Abid, Nils D. Forkert, Steven K. Boyd · 2020 · Medical Image Analysis
89. Understanding image structure from a new multi-scale representation of higher order derivative filters
    Kuntal Ghosh, Sandip Sarkar, Kamales Bhaumik · 2006 · Image and Vision Computing
90. Laplacian Scale-Space Behavior of Planar Curve Corners
    Xiaohong Zhang, Ying Qu, Dan Yang, Hongxing Wang, Jeffrey D. Kymer · 2015 · IEEE Transactions on Pattern Analysis and Machine Intelligence
91. A computational method for segmenting topological point-sets and application to image analysis
    Stiliyan Kalitzin, Joes J. Staal, Bart M. ter Haar Romeny, Max A. Viergever · 2001 · IEEE Transactions on Pattern Analysis and Machine Intelligence
92. On Image Reconstruction from Multiscale Top Points
    Frans Kanters, Martin Lillholm, Remco Duits, Bart Janssen, Bram Platel, Luc M. J. Florack, Bart M. ter Haar Romeny · 2005 · Lecture notes in computer science
93. Hierarchical Segmentation Satisfying Constraints
    Lewis D. Griffin, Alan C. F. Colchester, S. A. Röll, Colin Studholme · 1994 · British Machine Vision Conference (BMVC)
94. Capture and transparency in coarse quantized images
    Maria Concetta Morrone, David C. Burr · 1997 · Vision Research
95. Adaptive-scale filtering and feature detection using range data
    Clark F. Olson · 2000 · IEEE Transactions on Pattern Analysis and Machine Intelligence
96. On the axiomatic foundations of linear scale-space : Combining semi-group structure with causality vs. scale invariance
    Tony Lindeberg C · 1996
97. The curve indicator random field
    Jonas August, Steven Warren Zucker · 2001
98. On Projective Invariant Smoothing and Evolutions of Planar Curves and Polygons
    Alfred Marcel Bruckstein, Doron Shaked · 1997 · Journal of Mathematical Imaging and Vision
99. Adaptivity in 3D image processing
    Eberhard Bänsch, Karol Mikula · 2001 · Computing and Visualization in Science
100. Nonlinear adaptive image filtering based on inhomogeneous diffusion and differential geometry
     Adel I. El-Fallah, Gary E. Ford · 1994 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE