The structure of images

Cited by (1,000)

Items 401–500 of 1,000

1. Dynamics of Receptive Field Size in Primary Visual Cortex
   Brian J. Malone, Vikas R. Kumar, Dario L. Ringach · 2006 · Journal of Neurophysiology
2. Shape deformation: SVM regression and application to medical image segmentation
   Song Wang, Weiyu Zhu, Zhi‐Pei Liang · 2002 · IEEE/CVF International Conference on Computer Vision (ICCV)
3. Shapes, shocks and wiggles
   Kaleem Siddiqi A, Benjamin B. Kimia, Allen Tannenbaum, Steven Warren Zucker · 1999 · Image and Vision Computing
4. Feature-Based Image Analysis
   Martin Lillholm, Mads Nielsen, Lewis D. Griffin · 2003 · International Journal of Computer Vision
5. Properties of Ridges and Cores for Two-Dimensional Images
   James Damon · 1999 · Journal of Mathematical Imaging and Vision
6. Object‐oriented image analysis for high content screening: Detailed quantification of cells and sub cellular structures with the Cellenger software
   Martin Baatz, Nick Arini, Arno Schäpe, Gerd K. Binnig, Bettina Linssen · 2006 · Cytometry Part A
7. Complex Difusion Processes for Image Filtering
   Guy Gilboa, Yehoshua Y. Josh Zeevi, Nir Sochen · 2001 · Springer eBooks
8. Utilizing Image Scales Towards Totally Training Free Blind Image Quality Assessment
   Ashirbani Saha, Q. M. Jonathan Wu · 2015 · IEEE Transactions on Image Processing
9. Automated blob detection using iterative Laplacian of Gaussian filtering and unilateral second-order Gaussian kernels
   Gang Wang, Carlos López-Molina, Bernard De Baets C · 2019 · Digital Signal Processing
10. Investigations of image contrast space defined by variations on histogram equalization
    John M. Gauch · 1992 · CVGIP Graphical Models and Image Processing
11. Psychophysics with Junctions in Real Images
    Josh H. McDermott · 2004 · Perception
12. Two-stage neural network for volume segmentation of medical images
    Mohamed Nooman Ahmed, Aly A. Farag · 1997 · Pattern Recognition Letters
13. Color constancy from physical principles
    Jan‐Mark Geusebroek, Rein van den Boomgaard, Arnold W. M. Smeulders, Theo Gevers · 2003 · Pattern Recognition Letters
14. Learning PDEs for Image Restoration via Optimal Control
    Risheng Liu, Zhouchen Lin, Wayne Zhang, Zhixun Su · 2010 · Lecture notes in computer science
15. Global–local optimizations by hierarchical cuts and climbing energies
    Bangalore Ravi Kiran, Jean C. Serra · 2013 · Pattern Recognition
16. Image Mosaic Based on SIFT
    Zhanlong Yang, Baolong Guo · 2008 · International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)
17. Anisotropic Diffusion for Hyperspectral Imagery Enhancement
    Yi Wang, Ruiqing Niu, Xin Yu · 2010 · IEEE Sensors Journal
18. Use your hand as a 3-D mouse, or, relative orientation from extended sequences of sparse point and line correspondences using the affine trifocal tensor
    Lars Bretzner, Tony Lindeberg C · 1998 · Lecture notes in computer science
19. Parsing scale-space and spatial stability analysis
    Walter F. Bischof, Terry Caelli · 1988 · Computer Vision Graphics and Image Processing
20. Scale‐Space
    Tony Lindeberg · 2008 · Wiley Encyclopedia of Computer Science and Engineering
21. Anisotropic second and fourth order diffusion models based on Convolutional Virtual Electric Field for image denoising
    Yuanquan Wang, Wenqi Ren, Huaibin Wang · 2013 · Computers & Mathematics with Applications
22. Stopping criterion for linear anisotropic image diffusion: a fingerprint image enhancement case
    Tariq M. Khan, Mohammad A. U. Khan, Yinan Kong, Omar A. Kittaneh · 2016 · EURASIP Journal on Image and Video Processing
23. Affine Morphological Multiscale Analysis of Corners and Multiple Junctions
    Luis Álvarez, Freya Morales · 1997 · International Journal of Computer Vision
24. A coarse-to-fine deformable contour optimization framework
    Yusuf Sinan Akgül, Chandra Kambhamettu · 2003 · IEEE Transactions on Pattern Analysis and Machine Intelligence
25. Recovery of relative depth from a single observation using an uncalibrated (real-aperture) camera
    Vinay P. Namboodiri, Subhasis Chaudhuri · 2008 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
26. S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
    Zeke Xie, Xindi Yang, Yujie Yang, Qi Sun, Yixiang Jiang, Haoran Wang, Yunfeng Cai, Mingming Sun · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
27. Contour detection model with multi-scale integration based on non-classical receptive field
    Hui Wei, Bo Lang, Qingsong Zuo · 2012 · Neurocomputing
28. Performance analysis of neural networks for classification of medical images with wavelets as a feature extractor
    Harikumar Rajaguru, B. Vinoth Kumar · 2015 · International Journal of Imaging Systems and Technology
29. Supervised quality assessment of medical image registration: Application to intra-patient CT lung registration
    Sascha E. A. Muenzing, B. van Ginneken, K. Murphy, J. Pluim · 2012 · Medical Image Anal.
30. Haptic Edge Detection Through Shear
    Jonathan Platkiewicz, Hod Lipson, Vincent Hayward B · 2016 · Scientific Reports
31. Robust image matching based on the information of SIFT
    Jianfang Dou, Qin Qin, Zimei Tu · 2018 · Optik
32. Scale Space Hierarchy
    Arjan Kuijper, Luc M. J. Florack, Max A. Viergever · 2003 · Journal of Mathematical Imaging and Vision
33. Spreading activation layers, visual saccades, and invariant representations for neural pattern recognition systems
    Michael C. Seibert, Allen M. Waxman · 1989 · Neural Networks
34. Multiresolution local binary pattern variants based texture feature extraction techniques for efficient classification of microscopic images of hardwood species
    Arvind R. Yadav, R. S. Anand, Mohan Lal Dewal, Sangeeta Gupta · 2015 · Applied Soft Computing
35. Psychophysical receptive fields of edge detection mechanisms
    James H. Elder, Adam J. Sachs · 2004 · Vision Research
36. Rapid and efficient image restoration technique based on new adaptive anisotropic diffusion function
    Sondes Tebini, Zouhair Mbarki, Hassene Seddik, Ezzedine Ben Braiek · 2015 · Digital Signal Processing
37. Multiscale Active Contours
    Xavier Bresson, Pierre Vandergheynst, Jean‐Philippe Thiran · 2006 · International Journal of Computer Vision
38. Multi-scale keypoints in V1 and beyond: Object segregation, scale selection, saliency maps and face detection
    João M. F. Rodrigues, J. M. H. du Buf · 2006 · Biosystems
39. Urban-trees extraction from Quickbird imagery using multiscale spectex-filtering and non-parametric classification
    Yashon O. Ouma, Ryosuke Tateishi · 2008 · ISPRS Journal of Photogrammetry and Remote Sensing
40. Model Order Selection and Cue Combination for Image Segmentation
    Andrew Rabinovich, Serge Belongie, Tilman Lange, Joachim M. Buhmann · 2006 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
41. A scale selection principle for estimating image deformations
    Tony Lindeberg · 1998 · Image and Vision Computing
42. On the representation of image structures via scale space entropy conditions
    Mario Ferraro, Giuseppe Boccignone, Terry Caelli · 1999 · IEEE Transactions on Pattern Analysis and Machine Intelligence
43. Multiscale Vision Transformers
    Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer · 2021 · arXiv (Cornell University)
44. Efficient feature selection using BoWs and SURF method for leaf disease identification
    Monu Bhagat, Dilip Kumar · 2023 · Multimedia Tools and Applications
45. Augmenting Corner Descriptors
    Paul L. Rosin · 1996 · Graphical Models and Image Processing
46. Tree-Based Morse Regions: A Topological Approach to Local Feature Detection
    Yongchao Xu, Pascal Monasse, Thierry Géraud, Laurent Alain Najman · 2014 · IEEE Transactions on Image Processing
47. Line and circle detection using dense one-to-one Hough transforms on greyscale images
    A. Manzanera, T. Nguyen, Xiao-Lei Xu · 2016 · EURASIP Journal on Image and Video Processing
48. On the Behavior of Spatial Critical Points under Gaussian Blurring A Folklore Theorem and Scale-Space Constraints
    Marco Loog, Johannes JisseDuistermaat, Luc M. J. Florack · 2001 · Springer eBooks
49. A theory of intelligent systems
    James Sacra Albus · 2002 · The proceedings of the IEEE Conference on Control Applications/The proceedings of the ... IEEE Conference on Control Applications
50. Generic Structure of Two-Dimensional Images Under Gaussian Blurring
    James Damon · 1998 · SIAM Journal on Applied Mathematics
51. The intensity axis of symmetry and its application to image segmentation
    John M. Gauch, Stephen M. Pizer · 1993 · IEEE Transactions on Pattern Analysis and Machine Intelligence
52. A Minimum Cost Approach for Segmenting Networks of Lines
    Jan‐Mark Geusebroek, Arnold W. M. Smeulders, Hugo Geerts · 2001 · International Journal of Computer Vision
53. Symbolic construction of a 2-D scale-space image
    Eric Saund · 1990 · IEEE Transactions on Pattern Analysis and Machine Intelligence
54. Riesz-Transforms Versus Derivatives: On the Relationship Between the Boundary Tensor and the Energy Tensor
    Ullrich Köthe, Michael Felsberg · 2005 · Lecture notes in computer science
55. Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis
    Risheng Liu, Guangyu Zhong, Junjie Cao, Zhouchen Lin, Shiguang Shan, Zhongxuan Luo · 2016 · IEEE Transactions on Pattern Analysis and Machine Intelligence
56. Scaled position integration areas: accounting for Weber’s law for separation
    Christina A. Burbeck, Scott Hadden · 1993 · Journal of the Optical Society of America A
57. Wide-angle Visual Feature Matching for Outdoor Localization
    Peter Hansen, Peter Corke, Wageeh Boles · 2009 · The International Journal of Robotics Research
58. Scale‐spaces for generalization of 3D buildings
    Helmut Mayer · 2005 · International Journal of Geographical Information Systems
59. A combined post-filtering method to improve accuracy of variational optical flow estimation
    Zhigang Tu, Nico van der Aa, Coert van Gemeren, Remco C. Veltkamp · 2013 · Pattern Recognition
60. Smart interpolation by anisotropic diffusion
    Sebastiano Battiato, Giovanni Gallo, Filippo Stanco · 2004 · International Conference on Image Analysis and Processing
61. Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis
    Leonie L. Zeune, Guus van Dalum, Leon W.M.M. Terstappen, Stephan A. van Gils, Christoph Brüne · 2017 · SIAM Journal on Imaging Sciences
62. Jerk-Aware Video Acceleration Magnification
    Shoichiro Takeda, Kazuki Okami, Dan Mikami, Megumi Isogai, Hideaki Kimata · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
63. Intrinsic Image Transformation via Scale Space Decomposition
    Lechao Cheng, Chengyi Zhang, Zicheng Liao · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
64. Three‐dimensional reconstruction of porous polymer films from FIB‐SEM nanotomography data using random forests
    Magnus Röding, Cecilia Fager, A. OLSSON, Christian von Corswant, Eva Olsson, Niklas Lorén · 2020 · Journal of Microscopy
65. Data Embedding Based On Better Use Of Bits In Image Pixels
    Rehab H. Alwan, Fadhil J. Kadhim, Ahmad T. Al‐Taani · 2008 · Zenodo (CERN European Organization for Nuclear Research)
66. Geometric heat equation and nonlinear diffusion of shapes and images
    Kimia, Siddiqi · 1994 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
67. Algebraic Framework for Linear and Morphological Scale-Spaces
    Henk J.A.M. Heijmans, Rein van den Boomgaard · 2002 · Journal of Visual Communication and Image Representation
68. PHOTOGRAMMETRY & REMOTE SENSING
    Exams Tuk · 2016
69. Morphological and Linear Scale Spaces for Fiber Enhancement in DW-MRI
    Remco Duits, Tom Dela Haije, Eric Creusen, Arpan Ghosh · 2012 · Journal of Mathematical Imaging and Vision
70. The generalized Radon transform: Sampling, accuracy and memory considerations
    Cris L. Luengo Hendriks, M. Van Ginkel, P.W. Verbeek, Lucas J. Van Vliet A · 2005 · Pattern Recognition
71. Complex Wavelet Bases, Steerability, and the Marr-Like Pyramid
    Dimitri Van De Ville, Michael A. Unser · 2008 · IEEE Transactions on Image Processing
72. Scale-Invariant Features on the Sphere
    Peter Hansen, Peter Corke, Wageeh Boles, Kostas Daniilidis · 2007 · IEEE/CVF International Conference on Computer Vision (ICCV)
73. The entropy of scale-space
    J. Sponring · 1996 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
74. On the classification of toppoints in scale space
    Peter Johansen · 1994 · Journal of Mathematical Imaging and Vision
75. Surface Evolution under Curvature Flows
    Conglin Lu, Yan Cao, David B. Mumford · 2002 · Journal of Visual Communication and Image Representation
76. Spatial frequency filtering and target identification
    Joel Norman, Sharon Ehrlich · 1987 · Vision Research
77. Scale-imprecision space
    Lewis D. Griffin · 1997 · Image and Vision Computing
78. Feature Pyramid Grids
    Kai Chen, Yuhang Cao, Chen Change Loy, Dahua Lin, Christoph Feichtenhofer · 2020 · arXiv (Cornell University)
79. What is visible across the visual field?
    Andrew Haun · 2021 · Neuroscience of Consciousness
80. Time-Causal and Time-Recursive Spatio-Temporal Receptive Fields
    Tony Lindeberg C · 2015 · Journal of Mathematical Imaging and Vision
81. Image Matching Using Generalized Scale-Space Interest Points
    Tony Lindeberg · 2013 · Lecture notes in computer science
82. RubiX: Combining Spatial Resolutions for Bayesian Inference of Crossing Fibers in Diffusion MRI
    Stamatios N. Sotiropoulos, Saâd Jbabdi, Jesper Andersson, Mark W. Woolrich, Kǎmil Uǧurbil, Timothy E.J. Behrens · 2013 · IEEE Transactions on Medical Imaging
83. A dynamically young, gravitationally stable network of filaments in Orion B
    Jan H. Orkisz, N. Peretto, Jérôme Pety, Maryvonne Gérin, François Levrier, Émeric Bron, Sébastien Bardeau, Javier R. Goicoechea, Pierre Gratier, Viviana Veloso Guzmán et al. · 2019 · Astronomy and Astrophysics
84. Improved small blob detection in 3D images using jointly constrained deep learning and Hessian analysis
    Yanzhe Xu, Teresa Wu, Fei Gao, Jennifer R. Charlton, Kevin M. Bennett · 2020 · Scientific Reports
85. Real-time, accurate depth of field using anisotropic diffusion and programmable graphics cards
    Marcelo Bertalmı́o, Petr Fořt, Daniel Sánchez-Crespo · 2004
86. Life-space characterization from cellular telephone collected GPS data
    Neng Wan, Ge Lin · 2013 · Computers Environment and Urban Systems
87. Local Variance-Controlled Forward-and-Backward Diffusion for Image Enhancement and Noise Reduction
    Yi Wang, Liangpei Zhang, Pingxiang Li · 2007 · IEEE Transactions on Image Processing
88. Segmentation Induced by Scale Invariance
    Stella X. Yu · 2005 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
89. Scale space localization, blur, and contour-based image coding
    James H. Elder, Steven Warren Zucker · 1996 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
90. Multi-resolution analysis enables fidelity-ensured deconvolution for fluorescence microscopy
    Hou, Yiwei, Wang, Wenyi, Fu, Yunzhe, Ge, Xichuan, Li, Meiqi, Xi, Peng · 2024 · eLight
91. A Level Set Formulation of Geodesic Curvature Flow on Simplicial Surfaces
    Chunlin Wu, Xue‐Cheng Tai · 2009 · IEEE Transactions on Visualization and Computer Graphics
92. Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection
    Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau · 2019 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
93. A Spectral Approach to Total Variation
    Guy Gilboa · 2013 · Lecture notes in computer science
94. What Do Features Tell about Images?
    Mads Nielsen, Martin Lillholm · 2001 · Springer eBooks
95. Linear spatio-temporal scale-space
    Tony Lindeberg C · 1997 · Lecture notes in computer science
96. Mean, median and mode filtering of images
    Lewis D. Griffin · 2000 · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
97. Morphological scale-spaces
    Paul Jackway · 2001 · Advances in imaging and electron physics
98. Structural Description Theories: Is RBC/JIM a General-Purpose Theory of Human Entry-Level Object Recognition?
    Matthew A. Kurbat · 1994 · Perception
99. A hitherto unnoticed singularity of scale-space
    Jan J. Koenderink · 1989 · IEEE Transactions on Pattern Analysis and Machine Intelligence
100. Spacetime Forests with Complementary Features for Dynamic Scene Recognition
     Christoph Feichtenhofer, Axel J. Pinz, Richard P. Wildes · 2013 · British Machine Vision Conference (BMVC)