4.4.2 Scale Space Computation of Features

Wong, A.K.C., Vogel, M.A.,
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Burt, P.J.[Peter J.],
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CGIP(16), No. 1, May 1981, pp. 20-51.
Elsevier DOI BibRef 8105

Burt, P.J.[Peter J.],
Fast Algorithms for Estimating Local Image Properties,
CVGIP(21), No. 3, March 1983, pp. 368-382.
Elsevier DOI Multiple Resolutions. Scale Space. Multiple level convolutions to get basic features. BibRef 8303

Burt, P.J.[Peter J.], van der Wal, G.S.,
Iconic Image Analysis with the Pyramid Vision Machine (PVM),
CAPAMI87(137-144). BibRef 8700

Burt, P.J.[Peter J.], van der Wal, G.S.,
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ICPR90(II: 305-311).
IEEE DOI BibRef 9000

Crowley, J.L.[James L.],
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CMU-RI-TR-82-7, 1982, CMU Robotics Institute, EE Thesis. Scale Space. Wavelets followed this, and are a cleaner mathmatical representation. This may be more related to wavelets than it first appears. The representation is based on a set of filters (band-pass filters) that can be efficiently computed. He uses several levels of representation for the image. BibRef 8200

Crowley, J.L.[James L.], and Parker, A.C.[Alice C.],
A Representation for Shape Based on Peaks and Ridges in the Difference of Low-Pass Transform,
PAMI(6), No. 2, March, 1984, pp. 156-169. BibRef 8403
Earlier: CMU-RI-TR-83-4, 1983, CMU Robotics Institute. A continuation of the thesis. BibRef

Crowley, J.L., and Stern, R.M.,
Fast Computation of the Difference of Low-Pass Transform,
PAMI(6), No. 2, March, 1984, pp. 212-222. BibRef 8403

Crowley, J.L.,
A Computational Paradigm for Three-Dimensional Scene Analysis,
CVWS84(170-177). BibRef 8400
Earlier:
A Multi-Resolution Representation for Shape,
CVPR83(326-335). BibRef

Crowley, J.L., Parker, A.,
The Analysis, synthesis, and Evaluation of Local Measures for Discrimination and Segmentation of Textured Regions,
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Crowley, J.L.[James L.], Riff, O.[Olivier],
Fast Computation of Scale Normalised Gaussian Receptive Fields,
ScaleSpace03(584-598).
Springer DOI 0310
BibRef

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A System for Object Class Detection,
CogVis03(73-85).
Springer DOI 0310
BibRef

Hall, D.[Daniela], Crowley, J.L.[James L.],
Computation of Generic Features for Object Classification,
ScaleSpace03(744-756).
Springer DOI 0310
BibRef

Moore, R.K.[Roger K.],
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PR(14), No. 1-6, 1981, pp. 261-265.
Elsevier DOI Classification and syntactic processing levels. BibRef 8100

Thomason, M.G., and Granum, E.,
Database Representations in Hierarchical Scene Analysis,
PPR82(57-91). BibRef 8200

Ranganathan, N., Shah, M.A.[Mubarak A.],
A VLSI Architecture for Computing Scale Space,
CVGIP(43), No. 2, August 1988, pp. 178-204.
Elsevier DOI hardware. BibRef 8808

Pernus, F., Leonardis, A., Kovacic, S.,
2-Dimensional Object Recognition Using Multiresolution Non-Information-Preserving Shape-Features,
PRL(15), No. 11, November 1994, pp. 1071-1079. BibRef 9411
Earlier:
Noninformation-preserving shape features at multiple resolution,
ICPR92(II:166-169).
IEEE DOI 9208
BibRef

Li, X.P., Chen, T.W.,
Optimal L(1) Approximation of the Gaussian Kernel with Application to Scale-Space Construction,
PAMI(17), No. 10, October 1995, pp. 1015-1019.
IEEE DOI BibRef 9510

Kropatsch, W.G.,
Curve Representations in Multiple Resolutions,
PRL(6), No. 3, 1987, pp. 179-184. BibRef 8700
And:
Preserving Contours in Dual Pyramids,
ICPR88(I: 563-565).
IEEE DOI BibRef

Reisfeld, D.[Daniel],
The Constrained Phase Congruency Feature Detector: Simultaneous Localization, Classification and Scale Determination,
PRL(17), No. 11, September 16 1996, pp. 1161-1169. 9611
BibRef
Earlier:
Constrained Phase Congruency: Simultaneous Detection of Interest Points and of their Scales,
CVPR96(562-567).
IEEE DOI BibRef
And: ICPR96(I: 750-754).
IEEE DOI 9608
(INRIA, F) Detect interest points, their scale and orientation BibRef

Park, K.R., Lee, C.N.,
Scale-Space Using Mathematical Morphology,
PAMI(18), No. 11, November 1996, pp. 1121-1126.
IEEE DOI 9612
BibRef

Bangham, J.A., Ling, P.D., Young, R.,
Multiscale Recursive Medians, Scale-Space, and Transforms with Applications to Image-Processing,
IP(5), No. 6, June 1996, pp. 1043-1048.
IEEE DOI 9607
BibRef

Li, B.C.[Bing-Cheng],
Repeatedly Smoothing, Discrete Scale-Space Evolution and Dominant Point Detection,
PR(29), No. 6, June 1996, pp. 1049-1059.
Elsevier DOI 9606
Fourier analysis to derive properties. BibRef

Topkar, V.A., and Sood, A.K.,
Impact of Scale on Signed, Unsigned, Authentic and Phantom Zero Crossings in a Noisy Environment,
JMIV(5), No. 2, June 1995, pp. 129-157. BibRef 9506

Garcia Silvente, M., Garcia, J.A., Fdez Valdivia, J.,
The Novel Scale-Spectrum Space for Representing Gray-Level Shape,
PR(30), No. 3, March 1997, pp. 367-382.
Elsevier DOI 9705
Scale and spatial frequency. BibRef

Garcia Silvente, M., Fdez Valdivia, J., Garcia, J.A.,
A Multi-Channel Based Approach for Extracting Significant Scales on Gray-Level Images,
ICPR96(II: 231-235).
IEEE DOI 9608
(Universidad de Granada, E) BibRef

Kimmel, R.[Ron],
Intrinsic Scale Space for Images on Surfaces: The Geodesic Curvature Flow,
GMIP(59), No. 5, September 1997, pp. 365-372. 9712
BibRef
Earlier: ScaleSpace97(xx). 9702
BibRef

Fraser, C.S., Shao, J.,
Scale-Space Methods for Image Feature Modeling in Vision Metrology,
PhEngRS(64), No. 4, April 1998, pp. 323-328. 9805
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Yoon, S.H.[Sung H.], Kim, J.H.[Jung H.], Alexander, W.E.[Winser E.], Park, S.M.[Seong M.], Sohn, K.H.[Kwang H.],
An Optimum Solution for Scale Invariant Object Recognition Based on the Multiresolution Approximation,
PR(31), No. 7, July 1998, pp. 889-908.
Elsevier DOI 9807
Boundary representations. BibRef

Fidrich, M.[Márta], Thirion, J.P.[Jean-Philippe],
Stability of Corner Points in Scale Space: The Effects of Small Nonrigid Deformations,
CVIU(72), No. 1, October 1998, pp. 72-83.
DOI Link BibRef 9810

Jang, B.K.[Ben K.], Chin, R.T.[Roland T.],
Morphological Scale Space for 2D Shape Smoothing,
CVIU(70), No. 2, May 1998, pp. 121-141.
DOI Link BibRef 9805
Earlier: ICIP94(II: 111-115).
IEEE DOI 9411
BibRef

Borgefors, G.[Gunilla], Ramella, G.[Giuliana], Sanniti di Baja, G.[Gabriella], Svensson, S.[Stina],
On the Multiscale Representation of 2D and 3D Shapes,
GMIP(61), No. 1, January 1999, pp. 44-62. BibRef 9901

Borgefors, G.[Gunilla], Ramella, G.[Giuliana], Sanniti di Baja, G.[Gabriella],
Hierarchical Decomposition of Multiscale Skeletons,
PAMI(23), No. 11, November 2001, pp. 1296-1312.
IEEE DOI 0112
BibRef

Kalitzin, S.N.[Stiliyan N.], ter Haar Romeny, B.M.[Bart M.], Viergever, M.A.[Max A.],
Invertible Apertured Orientation Filters in Image Analysis,
IJCV(31), No. 2/3, April 1999, pp. 145-158.
DOI Link BibRef 9904
Earlier:
Invertible Orientation Bundles on 2D Scalar Images,
ScaleSpace97(xx). 9702
BibRef

Armande, N.[Nasser], Montesinos, P., Monga, O., Vaysseix, G.[Guy],
Thin Nets Extraction Using a Multi-scale Approach,
CVIU(73), No. 2, February 1999, pp. 248-257.
DOI Link BibRef 9902
Earlier: A1, A2, A3 only: SCIA97(xx-yy)
HTML Version. 9705
BibRef
And: ScaleSpace97(xx). 9702

See also Thin Nets and Crest Lines: Application to Satellite Data and Medical Images. BibRef

Armande, N., Montesinos, P., Monga, O.,
A 3D Thin Nets Extraction Method for Medical Imaging,
ICPR96(I: 642-646).
IEEE DOI 9608
(INRIA, F) BibRef

Montesinos, P., Alquier, L.,
Perceptual Organization of Thin Networks with Active Contour Functions Applied to Medical and Aerial Images,
ICPR96(I: 647-651).
IEEE DOI 9608
(INRIA, F) BibRef

Le, H.L.[Hui-Ling], Small, C.G.[Christopher G.],
Multidimensional scaling of simplex shapes,
PR(32), No. 9, September 1999, pp. 1601-1613.
Elsevier DOI Representation of triangle shapes.
See also statistical analysis of dynamic curves and sections, The. BibRef 9909

Schneider, M.K., Fieguth, P.W., Karl, W.C., Willsky, A.S.,
Multiscale Methods for the Segmentation and Reconstruction of Signals and Images,
IP(9), No. 3, March 2000, pp. 456-468.
IEEE DOI 0003
BibRef
Earlier:
Multiscale Methods for the Segmentation of Images,
ICASSP96(XX) MIT. BibRef

Cetin, M., Karl, W.C., Willsky, A.S.,
Edge-preserving image reconstruction for coherent imaging applications,
ICIP02(II: 481-484).
IEEE DOI 0210
BibRef

Monasse, P.[Pascal], Guichard, F.[Frédéric],
Scale-Space from a Level Lines Tree,
JVCIR(11), No. 2, June 2000, pp. 224-236. 0008
BibRef
Earlier: ScaleSpace99(175-186). BibRef

Preusser, T., Rumpf, M.,
An Adaptive Finite Element Method for Large Scale Image Processing,
JVCIR(11), No. 2, June 2000, pp. 183-195. 0008
BibRef
Earlier: ScaleSpace99(223-234). BibRef

Preusser, T.[Tobias],
Viscosity Solutions of a Level-Set Method for Anisotropic Geometric Diffusion in Image Processing,
JMIV(29), No. 2-3, November 2007, pp. 205-217.
Springer DOI 0712
BibRef

Acton, S.T., Mukherjee, D.P.,
Scale Space Classification Using Area Morphology,
IP(9), No. 4, April 2000, pp. 623-635.
IEEE DOI 0004
BibRef

Acton, S.T.,
A Pyramidal Algorithm for Area Morphology,
ICIP00(Vol II: 954-957).
IEEE DOI 0008
BibRef

Boccignone, G.[Giuseppe], Ferraro, M.[Mario], Caelli, T.M.[Terry M.],
Encoding Visual Information Using Anisotropic Transformations,
PAMI(23), No. 2, February 2001, pp. 207-211.
IEEE DOI 0102
BibRef
Earlier:
Visual information from anisotropic transformations,
CIAP99(334-339).
IEEE DOI 9909
Evolution of information in images in fine-to-coarse transformations.
See also On the Representation of Image Structures via Scale Space Entropy Conditions. BibRef

Ferraro, N., Boccignone, G.,
Information properties in fine-to-coarse image transformations,
ICIP98(II: 757-761).
IEEE DOI 9810
BibRef

Ferraro, M.,
Isotropic Versus Anisotropic Encoding of Visual Information,
ICIP00(Vol III: 905-908).
IEEE DOI 0008
BibRef

Klette, R.[Reinhard], Zunic, J.[Jovisa],
Multigrid Convergence of Calculated Features in Image Analysis,
JMIV(13), No. 3, December 2000, pp. 173-191.
DOI Link 0106
BibRef

Comaniciu, D.[Dorin],
An algorithm for data-driven bandwidth selection,
PAMI(25), No. 2, February 2003, pp. 281-288.
IEEE DOI 0301
BibRef

Comaniciu, D.[Dorin], Ramesh, V.[Visvanathan], Meer, P.[Peter],
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection,
ICCV01(I: 438-445).
IEEE DOI 0106
Scalespace. BibRef

Zan, J., Ahmad, M.O., Swamy, M.N.S.,
Multiplicationless Burt and Adelson's Pyramids for Motion Estimation,
CirSysVideo(14), No. 1, January 2004, pp. 136-141.
IEEE Abstract. 0402
BibRef

Majer, P.[Peter],
On the Influence of Scale Selection on Feature Detection for the Case of Linelike Structures,
IJCV(60), No. 3, December 2004, pp. 191-202.
DOI Link 0409
BibRef
Earlier:
The influence of the g-parameter on feature detection with automatic scale selection,
ScaleSpace01(xx-yy). 0106
Different values of gamma lead to different features. (
See also Feature Detection with Automatic Scale Selection. ) E.g. different range of gamma for ridges than edges. BibRef

Majer, P.[Peter],
Self-similarity of Noise in scale-space,
ScaleSpace99(423-428). BibRef 9900

Vachier, C.[Corinne], Meyer, F.[Fernand],
The Viscous Watershed Transform,
JMIV(22), No. 2-3, May 2005, pp. 251-267.
Springer DOI 0505
BibRef

Maragos, P.[Petros], Vachier, C.[Corinne],
Overview of adaptive morphology: Trends and perspectives,
ICIP09(2241-2244).
IEEE DOI 0911
BibRef

Maragos, P.[Petros], Vachier, C.[Corinne],
A PDE formulation for viscous morphological operators with extensions to intensity-adaptive operators,
ICIP08(2200-2203).
IEEE DOI 0810
BibRef

Vachier, C.,
Morphological Scale-space Analysis and Feature Extraction,
ICIP01(III: 676-679).
IEEE DOI 0108
BibRef

Makram-Ebeid, S.[Sherif], Mory, B.[Benoit],
Scale-Space Image Analysis Based on Hermite Polynomials Theory,
IJCV(64), No. 2-3, September 2005, pp. 125-141.
Springer DOI 0510
BibRef
Earlier: ScaleSpace03(57-71).
Springer DOI 0310
BibRef

Wyatt, C.[Christopher], Bayram, E.[Ersin], Ge, Y.R.[Yao-Rong],
Minimum Reliable Scale Selection in 3D,
PAMI(28), No. 3, March 2006, pp. 481-487.
IEEE DOI 0602
Extend 2-D minimum reliable scale to 3D range. Improved edge detection. BibRef

Guigues, L.[Laurent], Cocquerez, J.P.[Jean Pierre], Le Men, H.[Hervé],
Scale-Sets Image Analysis,
IJCV(68), No. 3, July 2006, pp. 289-317.
Springer DOI 0606
BibRef
Earlier: A1, A3, A2: ICIP03(II: 45-48).
IEEE DOI 0312

See also hierarchy of the cocoons of a graph and its application to image segmentation, The. BibRef

Kuijper, A.[Arjan],
Using Catastrophe Theory to Derive Trees from Images,
JMIV(23), No. 3, November 2005, pp. 219-238.
Springer DOI 0510
Structure of Gaussian Scale Space images. Understand blurring. BibRef

Kuijper, A.[Arjan],
Transitions of a Multi-scale Image Hierarchy Tree,
SSVM09(844-855).
Springer DOI 0906
BibRef

Kuijper, A.[Arjan],
P-Laplacian Driven Image Processing,
ICIP07(V: 257-260).
IEEE DOI 0709
BibRef

Kuijper, A.[Arjan],
Geometrical PDEs based on second-order derivatives of gauge coordinates in image processing,
IVC(27), No. 8, 2 July 2009, pp. 1023-1034.
Elsevier DOI 0906
BibRef
Earlier:
Qualitative and Quantitative Behaviour of Geometrical PDEs in Image Processing,
ACCV07(I: 230-239).
Springer DOI 0711
Multi-resolution processing, Nonlinear scale space, Gauge coordinates; Geometric image evolution motivated by combining Gaussian blurring, the Mean Curvature Motion (used for denoising and edge-preserving), and maximal blurring (used for inpainting). BibRef

Kuijper, A.[Arjan], Florack, L.M.J.[Luc M.J.],
Understanding and Modeling the Evolution of Critical Points under Gaussian Blurring,
ECCV02(I: 143 ff.).
Springer DOI 0205
BibRef
Earlier:
Calculations on Critical Points under Gaussian Blurring,
ScaleSpace99(318-329). BibRef

Loog, M., Duistermaat, J.J., Florack, L.M.J.,
On the behavior of spatial critical points under Gaussian blurring,
ScaleSpace01(xx-yy). 0106
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Hoseinnezhad, R.[Reza], Bab-Hadiashar, A.[Alireza], Suter, D.[David],
Finite Sample Bias of Robust Estimators in Segmentation of Closely Spaced Structures: A Comparative Study,
JMIV(37), No. 1, May 2010, pp. xx-yy.
Springer DOI 1003
BibRef
Earlier:
Finite Sample Bias of Robust Scale Estimators in Computer Vision Problems,
ISVC06(I: 445-454).
Springer DOI 0611
BibRef

Won, C.S., Shirani, S.,
Size-Controllable Region-of-Interest in Scalable Image Representation,
IP(20), No. 5, May 2011, pp. 1273-1280.
IEEE DOI 1104
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Boix, X.[Xavier], Gonfaus, J.M.[Josep M.], van de Weijer, J.[Joost], Bagdanov, A.D.[Andrew D.], Serrat, J.[Joan], Gonzàlez, J.[Jordi],
Harmony Potentials: Fusing Global and Local Scale for Semantic Image Segmentation,
IJCV(96), No. 1, January 2012, pp. 83-102.
WWW Link. 1201
BibRef
Earlier: A2, A1, A3, A4, A5, A6:
Harmony potentials for joint classification and segmentation,
CVPR10(3280-3287).
IEEE DOI 1006
multiple labels at higher scales. BibRef

Mondelli, M.[Marco], Ciomaga, A.[Adina],
Finite Difference Schemes for MCM and AMSS,
IPOL(2011), No. 1, 2011, pp. xx-yy.
DOI Link 1202
Code, Scale Space. BibRef

Mondelli, M.[Marco],
A Finite Difference Scheme for the Stack Filter Simulating the MCM,
IPOL(2012), No. 2012, pp. xx-yy.
DOI Link 1309
Mean Curvature Motion equation BibRef

Ouzounis, G.K.[Georgios K.], Pesaresi, M.[Martino], Soille, P.[Pierre],
Differential Area Profiles: Decomposition Properties and Efficient Computation,
PAMI(34), No. 8, August 2012, pp. 1533-1548.
IEEE DOI 1206
BibRef
Earlier: A1, A3, Only:
Differential Area Profiles,
ICPR10(4085-4088).
IEEE DOI 1008
Point-based multi-scale descriptors. Area-zone decomposition. BibRef

Ardizzone, E.[Edoardo], Bruno, A.[Alessandro], Mazzola, G.[Giuseppe],
Scale detection via keypoint density maps in regular or near-regular textures,
PRL(34), No. 16, 2013, pp. 2071-2078.
Elsevier DOI 1310
SIFT BibRef

Saremi, S.[Saeed], Sejnowski, T.J.[Terrence J.],
Correlated Percolation, Fractal Structures, and Scale-Invariant Distribution of Clusters in Natural Images,
PAMI(38), No. 5, May 2016, pp. 1016-1020.
IEEE DOI 1604
correlation theory. Starting point for segmentation. BibRef

Zhang, Z.[Zhan], Yang, D.S.[Dong-Sheng], Lian, M.J.[Meng-Jia],
Circumferential Binary Feature Extraction and Matching Search Algorithms,
SPLetters(25), No. 7, July 2018, pp. 1074-1078.
IEEE DOI 1807
Pyramid of features. feature extraction, image matching, search problems, BMLSH, CBF extraction algorithm, FAST point feature detector, mirror invariance BibRef

Lin, T.Y.[Tsung-Yi], Goyal, P.[Priya], Girshick, R.[Ross], He, K.M.[Kai-Ming], Dollár, P.[Piotr],
Focal Loss for Dense Object Detection,
PAMI(42), No. 2, February 2020, pp. 318-327.
IEEE DOI 2001
BibRef
Earlier: ICCV17(2999-3007)
IEEE DOI 1802
Award, ICCV, Student. Detectors, Training, Object detection, Entropy, Proposals, Convolutional neural networks, Feature extraction, convolutional neural networks. convolution, image classification, R-CNN, candidate object locations. BibRef

Lin, T.Y., Dollár, P., Girshick, R., He, K.M., Hariharan, B., Belongie, S.,
Feature Pyramid Networks for Object Detection,
CVPR17(936-944)
IEEE DOI 1711
Detectors, Feature extraction, Object detection, Proposals, Robustness, Semantics BibRef

Zhao, D.L.[De-Long], Du, F.Z.[Fu-Zhou],
A novel approach for scale and rotation adaptive estimation based on time series alignment,
VC(36), No. 1, January 2020, pp. 175-189.
Springer DOI 2001
Target scale and rotation adaptive estimation based on template matching. BibRef

Wu, X.Y.[Xiu-Yi], Yu, W.P.[Wen-Ping], Shi, J.[Jinan], Ma, M.G.[Ming-Guo], Li, X.L.[Xiao-Lu], Wu, W.J.[Wen-Jian],
Identification of the Characteristic Scale of Fine Ground Objects: A Case Study of the Core Observation Area in the Middle Reaches of the Heihe River Basin,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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Huang, J.[Jing], Chen, Z.X.[Zhen-Xue], Wu, Q.M.J.[Q. M. Jonathan], Liu, C.Y.[Cheng-Yun], Yuan, H.[Hui], He, W.[Weikai],
CATFPN: Adaptive Feature Pyramid With Scale-Wise Concatenation and Self-Attention,
CirSysVideo(32), No. 12, December 2022, pp. 8142-8152.
IEEE DOI 2212
Feature extraction, Detectors, Semantics, Object detection, Image resolution, Deep learning, Training data, Object detection, attention mechanisms BibRef

Liu, D.F.[Dong-Fang], Liang, J.[James], Geng, T.[Tony], Loui, A.[Alexander], Zhou, T.F.[Tian-Fei],
Tripartite Feature Enhanced Pyramid Network for Dense Prediction,
IP(32), 2023, pp. 2678-2692.
IEEE DOI
WWW Link. 2305
Feature extraction, Task analysis, Calibration, Semantics, Object detection, Representation learning, Image coding, dense prediction BibRef

Qiu, X.C.[Xing-Chen], Gao, H.L.[Hai-Liang], Wang, Y.X.[Yi-Xue], Zhang, W.[Wei], Shi, X.[Xinda], Lv, F.J.[Feng-Jun], Yu, Y.Q.[Yan-Qiu], Luan, Z.R.[Zhuo-Ran], Wang, Q.Q.[Qian-Qian], Zhao, X.F.[Xiao-Fei],
A Scale Conversion Model Based on Deep Learning of UAV Images,
RS(15), No. 9, 2023, pp. xx-yy.
DOI Link 2305
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Wang, K.Y.[Ke-Yang], Zhang, L.[Lei], Song, W.L.[Wen-Li], Lang, Q.H.[Qing-Hai], Qin, L.Y.[Ling-Yun],
Layer-Wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object Detection,
ICIP21(2209-2213)
IEEE DOI 2201
Scale customized feature learning in each layer. Image segmentation, Adaptive learning, Buildings, Detectors, Object detection, Feature extraction, Deep learning, adaptive IoU (AIoU) loss BibRef

Bao, Y.[Youneng], Li, C.[Chao], Meng, F.Y.[Fan-Yang], Liang, Y.S.[Yong-Sheng], Liu, W.[Wei], Liu, K.[Kaiyu],
Mbb: A Multi-Scale Method for Data Based on Bit Plane Slicing,
ICIP21(859-863)
IEEE DOI 2201
Deep learning, Image processing, CNN, multi-scale, bit plane slicing BibRef

Alsam, A.[Ali], Rivertz, H.J.[Hans Jakob],
Fast scale space image decomposition,
WSSIP15(17-20)
IEEE DOI 1603
Fourier analysis BibRef

Alves, W.A.L.[Wonder Alexandre Luz], Hashimoto, R.F.[Ronaldo Fumio],
Ultimate grain filter,
ICIP14(2953-2957)
IEEE DOI 1502
Image reconstruction BibRef

Fragoso, V.[Victor], Srivastava, G.[Gaurav], Nagar, A.[Abhishek], Li, Z.[Zhu], Park, K.[Kyungmo], Turk, M.[Matthew],
Cascade of Box (CABOX) Filters for Optimal Scale Space Approximation,
IWMV14(126-131)
IEEE DOI 1409
BibRef

Zhong, B.J.[Bao-Jiang], Ma, K.K.[Kai-Kuang], Yang, J.W.[Ji-Wen],
Curvature scale-space of open curves: Theory and shape representation,
ICIP13(3671-3675)
IEEE DOI 1402
CSS BibRef

Jia, Y.Q.[Yang-Qing], Huang, C.[Chang], Darrell, T.J.[Trevor J.],
Beyond spatial pyramids: Receptive field learning for pooled image features,
CVPR12(3370-3377).
IEEE DOI 1208
BibRef

Boltz, S.[Sylvain], Nielsen, F.[Frank], Soatto, S.[Stefano],
Texture Regimes for Entropy-Based Multiscale Image Analysis,
ECCV10(III: 692-705).
Springer DOI 1009
small region texture, large region it becomes uniform. BibRef

Mei, X.[Xue], Gu, X.M.[Xiao-Min], Lin, J.G.[Jin-Guo], Wu, L.[Li],
Multiscale geometric feature extraction and selection algorithms of similar objects,
IASP10(399-402).
IEEE DOI 1004
BibRef

Erickson, J.E.[Jeffrey E.], Dubuque, S.F.[Shaun F.],
Adaptation of foveation parameters for target acquisition in noise,
Southwest10(153-156).
IEEE DOI 1005
Adjust foveation (scale) based on noise. BibRef

Gustavsson, D.[David], Pedersen, K.S.[Kim S.], Lauze, F.[Francois], Nielsen, M.[Mads],
On the Rate of Structural Change in Scale Spaces,
SSVM09(832-843).
Springer DOI 0906
BibRef

Chessel, A.[Anatole], Cinquin, B.[Bertrand], Bardin, S.[Sabine], Salamero, J.[Jean], Kervrann, C.[Charles],
Computational Geometry-Based Scale-Space and Modal Image Decomposition Application to Light Video-Microscopy Imaging,
SSVM09(770-781).
Springer DOI 0906
BibRef

Kervrann, C.,
Bayesian object detection through level curves selection,
ScaleSpace01(xx-yy). 0106
BibRef

Rosiles, J.G., Smith, M.J.T.,
A low complexity overcomplete directional image pyramid,
ICIP03(I: 1049-1052).
IEEE DOI 0312
BibRef

Ho, S.[Sean], Gerig, G.[Guido],
Scale-Space on Image Profiles about an Object Boundary,
ScaleSpace03(564-575).
Springer DOI 0310
BibRef

Zwiggelaar, R.,
Image Processing in Scale-Orientation Space,
BMVC02(Poster Session). 0208
BibRef

Jansen, M., Choi, H., Lavu, S., Baraniuk, R.G.,
Multiscale image processing using normal triangulated meshes,
ICIP01(II: 229-232).
IEEE DOI 0108
BibRef

Atkins, C., Bouman, C.A., Allebach, J.P.,
Optimal Image Scaling Using Pixel Classification,
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IEEE DOI 0009
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Loog, M.[Marco],
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Loog, M.[Marco],
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Springer DOI 0405
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A Multi-Scale Line Filter with Automatic Scale Selection Based on the Hessian Matrix for Medical Image Segmentation,
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Morita, S.[Satoru],
Generating Stable Structure Using Scale-Space Analysis with Non-Uniform Gaussian Kernels,
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Hontani, H.[Hidekata], Deguchi, K.,
Multi-Scale Detection of Characteristic Figure Structures Using Principal Curvatures of Image Gray-Lever Profile,
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Forte, P.[Peter], Greenhill, D.,
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Filters in Scale Space .