8.8.8 Multi-Scale, Pyramid Texture Segmentation Approaches

Chapter Contents (Back)
Texture Segmentation. Pyramids. Hierarchical. Multi-Scale.

Unser, M., and Eden, M.,
Multiresolution Feature Extraction and Selection for Texture Segmentation,
PAMI(11), No. 7, July 1989, pp. 717-728.
IEEE DOI BibRef 8907
Earlier:
A Multi-Resolution Feature Reduction Technique for Image Segmentation with Multiple Components,
CVPR88(568-573).
IEEE DOI BibRef

Spann, M., Horne, C.,
Image Segmentation Using a Dynamic Thresholding Pyramid,
PR(22), No. 6, 1989, pp. 719-732.
Elsevier DOI 0309
BibRef

Ahuja, N.,
A Transform for Multiscale Image Segmentation by Integrated Edge and Region Detection,
PAMI(18), No. 12, December 1996, pp. 1211-1235.
IEEE DOI 9701
Scale Space. Medial Axis Transform. First, global operation on pairs of pixels, then integration of the results. Uses an attraction force field where pixels in a region are "attracted" resulting in a convergent flow field. BibRef

Ahuja, N.[Narendra],
A Transform for Multiscale Image Segmentation,
AIU96(45-64). BibRef 9600
And: TRBeckman Institute, 96-01, July 1995. BibRef
A Transform for Detection of Multiscale Image Structure,
CVPR93(780-781).
IEEE DOI BibRef
And: DARPA93(893-903). Multiple scale, generate edges and skeletons to get final regions. BibRef

Ahuja, N., Jackson, S.A.,
Multiscale Region Detection,
ARPA96(961-968). BibRef 9600

Courtney, C., Ahuja, N.,
Segmentation of Volume Images Using a Multiscale Transform,
ICPR96(II: 432-436).
IEEE DOI 9608
(Univ. of Illinois, USA) BibRef

Tabb, M., Ahuja, N.,
Multiscale Image Segmentation by Integrated Edge and Region Detection,
IP(6), No. 5, May 1997, pp. 642-655.
IEEE DOI 9705
BibRef

Ahuja, N.[Narendra], and Tabb, M.[Mark],
Multiscale Image Segmentation Using a Recent Transform,
ARPA94(II:1523-1530). BibRef 9400

Tabb, M., Ahuja, N.,
A Multiscale Region-Based Approach to Image Matching,
ICPR94(A:415-419).
IEEE DOI BibRef 9400

Bajcsy, P.[Peter], Ahuja, N.[Narendra],
Segmentation of Multidimensional Images,
ARPA96(937-942). Scale Space. BibRef 9600

Lam, S.W.C.[Stephen W. C.], Ip, H.H.S.[Horace H. S.],
Structural Texture Segmentation Using Irregular Pyramid,
PRL(15), No. 7, July 1994, pp. 691-698. BibRef 9407
Earlier:
Adaptive pyramid approach to texture segmentation,
CAIP93(267-274).
Springer DOI 9309
BibRef

Ip, H.H.S.[Horace H.S.], Lam, S.W.C.[Stephen W.C.],
3-Dimensional Structural Texture Modeling and Segmentation,
PR(28), No. 9, September 1995, pp. 1299-1319.
Elsevier DOI BibRef 9509

Hofmann, T.[Thomas], Puzicha, J.[Jan], and Buhmann, J.M.[Joachim M.],
Unsupervised Texture Segmentation in a Deterministic Annealing Framework,
PAMI(20), No. 8, August 1998, pp. 803-818.
IEEE DOI BibRef 9808
Earlier:
An Optimization Approach to Unsupervised Hierarchical Texture Segmentation,
ICIP97(III: 213-216).
IEEE DOI Abstract available from:
WWW Link.
See also Pairwise Data Clustering by Deterministic Annealing. BibRef

Hofmann, T.[Thomas], Puzicha, J.[Jan], Buhmann, J.M.[Joachim M.],
Unsupervised Segmentation of Textured Images by Pairwise Data Clustering,
ICIP96(III: 137-140).
IEEE DOI BibRef 9600
And:
A Deterministic Annealing Framework for Unsupervised Texture Segmentation,
TRIAI-TR-96-2, Institut f|r Informatik III, University of Bonn. 1996. BibRef

Puzicha, J., Hofmann, T., Buhmann, J.M.,
Non-Parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval,
CVPR97(267-272).
IEEE DOI
WWW Link. 9704
Gabor filters; texture. BibRef

Puzicha, J.[Jan], Buhmann, J.M.[Joachim M.],
Multiscale Annealing for Grouping and Unsupervised Texture Segmentation,
CVIU(76), No. 3, December 1999, pp. 213-230.
DOI Link 0001
BibRef
Earlier:
Multiscale Annealing for Real-Time Unsupervised Texture Segmentation,
ICCV98(267-273).
IEEE DOI BibRef
And: TRIAI-TR-97-4, Institut f|r Informatik III, University of Bonn. April 1997. Abstract available from:
WWW Link. BibRef

Comer, M.L.[Mary L.], Delp, E.J.[Edward J.],
Segmentation of Textured Images Using a Multiresolution Gaussian Autoregressive Model,
IP(8), No. 3, March 1999, pp. 408-420.
IEEE DOI BibRef 9903

Comer, M.L.[Mary L.], Delp, E.J.[Edward J.],
The EM/MPM Algorithm for Segmentation of Textured Images: Analysis and Further Experimental Results,
IP(9), No. 10, October 2000, pp. 1731-1744.
IEEE DOI 0010
BibRef
Earlier: ICIP96(III: 947-950).
IEEE DOI BibRef
Earlier:
Parameter estimation and segmentation of noisy or textured images using the EM algorithm and MPM estimation,
ICIP94(II: 650-654).
IEEE DOI 9411
BibRef

Hsu, T.I.[Tao-I], Kuo, J.L.[Jiann Ling], Wilson, R.,
A multiresolution texture gradient method for unsupervised segmentation,
PR(33), No. 11, November 2000, pp. 1819-1833.
Elsevier DOI 0011
BibRef

Bandera Rubio, A.[Antonio], Urdiales García, C.[Cristina], Arrebola, F.[Fabián], Sandoval Hernández, F.[Francisco],
Scale-dependent hierarchical unsupervised segmentation of textured images,
PRL(22), No. 2, February 2001, pp. 171-181.
Elsevier DOI 0101
BibRef

Coslado, F.J., Camacho, P., González, M., Sandoval, F.[Francisco],
Hardware architecture for hierarchical segmentation in foveal images,
IJIST(14), No. 4, 2004, pp. 153-166.
DOI Link 0408
BibRef

Marfil, R., Rodríguez, J.A., Bandera Rubio, A.[Antonio], Sandoval Hernández, F.[Francisco],
Bounded irregular pyramid: a new structure for color image segmentation,
PR(37), No. 3, March 2004, pp. 623-626.
Elsevier DOI 0401
BibRef

Calderón, M.[Mariletty], Marfil, R.[Rebeca], Bandera, A.[Antonio],
Segmentation and Classification of Geoenvironmental Zones of Interest in Aerial Images Using the Bounded Irregular Pyramid,
CTIC16(290-301).
Springer DOI 1608
BibRef

Rubio, T.J., Bandera Rubio, A.[Antonio], Urdiales García, C.[Cristina], Sandoval Hernández, F.[Francisco],
A hierarchical context-based textured image segmentation algorithm for aerial images,
Texture02(117-122). 0207
BibRef

Marfil, R., Molina-Tanco, L., Bandera Rubio, A.[Antonio], Rodríguez, J.A., Sandoval Hernández, F.[Francisco],
Pyramid segmentation algorithms revisited,
PR(39), No. 8, August 2006, pp. 1430-1451.
Elsevier DOI 0606
Irregular pyramids; Regular pyramids; Combinatorial map; Graphs; Decimation schemes
See also Fast gesture recognition based on a two-level representation. BibRef

Marfil, R., Molina-Tanco, L., Rodriguez, J.A., Sandoval, F.,
Real-time object tracking using bounded irregular pyramids,
PRL(28), No. 9, 1 July 2007, pp. 985-1001.
Elsevier DOI 0704
Non-rigid object tracking; Multiple object tracking; Target representation and localization; Hierarchical template matching; Template-based tracking BibRef

Torres, F.[Fuensanta], Marfil, R.[Rebeca], Bandera Rubio, A.[Antonio],
3D Image Segmentation Using the Bounded Irregular Pyramid,
CAIP09(979-986).
Springer DOI 0909
BibRef

Marfil, R.[Rebeca], Bandera Rubio, A.[Antonio], Sandoval Hernández, F.[Francisco],
Perception-Based Image Segmentation Using the Bounded Irregular Pyramid,
DAGM07(244-253).
Springer DOI 0709
BibRef

Marfil, R.[Rebeca], Bandera Rubio, A.[Antonio],
Comparison of Perceptual Grouping Criteria within an Integrated Hierarchical Framework,
GbRPR09(366-375).
Springer DOI 0905
BibRef

Antúnez, E.[Esther], Marfil, R.[Rebeca], Bandera Rubio, A.[Antonio],
A New Perception-Based Segmentation Approach Using Combinatorial Pyramids,
CIAP11(I: 327-336).
Springer DOI 1109
BibRef

Wang, J.Z.[James Z.], Li, J.[Jia], Gray, R.M.[Robert M.], Weiderhold, G.[Gio],
Unsupervised Multiresolution Segmentation for Images with Low Depth of Field,
PAMI(23), No. 1, January 2001, pp. 85-90.
IEEE DOI 0101
BibRef
Earlier: A2, A1, A3, A4:
Multiresolution object-of-interest detection for images with low depth of field,
CIAP99(32-37).
IEEE DOI 9909
Segmentation for indexing. Multi-resolution. Separate sharply focused object of interest from other foreground and background objects. Find where edges occur, the blurred regions do not have edges at high resolutions. BibRef

Pyun, K.[Kyungsuk], Lim, J.[Johan], Gray, R.M.[Robert M.],
A covariance adjustment method in compressed domain for noisy image segmentation,
ICIP08(2268-2271).
IEEE DOI 0810
BibRef

Won, C.S.[Chee Sun],
Automatic Object Extraction in Images using Embedded Labels,
CRV08(231-236).
IEEE DOI 0805
BibRef

Won, C.S.[Chee Sun], Pyan, K., Gray, R.M.,
Automatic object segmentation in images with low depth of field,
ICIP02(III: 805-808).
IEEE DOI 0210
Get the focused foreground objects. BibRef

Liang, K.H., Tjahjadi, T.,
Adaptive Scale Fixing for Multiscale Texture Segmentation,
IP(15), No. 1, January 2006, pp. 249-256.
IEEE DOI 0601
BibRef

Dong, X., Pollak, I.,
Multiscale Segmentation With Vector-Valued Nonlinear Diffusions on Arbitrary Graphs,
IP(15), No. 7, July 2006, pp. 1993-2005.
IEEE DOI 0606
BibRef
Earlier:
Multiscale Texture Segmentation with Vector-Valued Nonlinear Diffusions on Arbitrary Graphs,
ICIP05(III: 824-827).
IEEE DOI 0512
BibRef

Dong, X., Pollak, I.,
Circle-Valued Nonlinear Diffusions with Application to Texture Segmentation,
ICIP06(1105-1108).
IEEE DOI 0610
BibRef

Tzotsos, A.[Angelos], Karantzalos, K.[Konstantinos], Argialas, D.[Demetre],
Object-based image analysis through nonlinear scale-space filtering,
PandRS(66), No. 1, January 2011, pp. 2-16.
Elsevier DOI 1101
Automation; Analysis; Simplification; Segmentation; Classification BibRef

Tzotsos, A.[Angelos], Iosifidis, C., Argialas, D.[Demetre],
Integrating texture features into a region-based multi-scale image segmentation algorithm,
OBIA06(xx-yy).
PDF File. 0607
BibRef

Chen, J., Li, J., Pan, D., Zhu, Q., Mao, Z.,
Edge-Guided Multiscale Segmentation of Satellite Multispectral Imagery,
GeoRS(50), No. 11, November 2012, pp. 4513-4520.
IEEE DOI 1210
BibRef

Hu, Y., Chen, J., Pan, D., Hao, Z.,
Edge-Guided Image Object Detection in Multiscale Segmentation for High-Resolution Remotely Sensed Imagery,
GeoRS(54), No. 8, August 2016, pp. 4702-4711.
IEEE DOI 1608
feature extraction BibRef

Witharana, C.[Chandi], Civco, D.L.[Daniel L.],
Optimizing multi-resolution segmentation scale using empirical methods: Exploring the sensitivity of the supervised discrepancy measure Euclidean distance 2 (ED2),
PandRS(87), No. 1, 2014, pp. 108-121.
Elsevier DOI 1402
Multiresolution segmentation BibRef

Dragut, L., Csillik, O., Eisank, C., Tiede, D.,
Automated parameterisation for multi-scale image segmentation on multiple layers,
PandRS(88), No. 1, 2014, pp. 119-127.
Elsevier DOI 1402
Automation BibRef

Zeune, L.[Leonie], van Dalum, G.[Guus], Terstappen, L.W.M.M.[Leon W.M.M.], van Gils, S.A.[Stephan A.], Brune, C.[Christoph],
Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis,
SIIMS(10), No. 1, 2017, pp. 111-146.
DOI Link 1704
BibRef
And: A1, A4, A3, A5, Only:
Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition,
SSVM17(80-93).
Springer DOI 1706
BibRef

Gu, H.[Haiyan], Han, Y.S.[Yan-Shun], Yang, Y.[Yi], Li, H.T.[Hai-Tao], Liu, Z.J.[Zheng-Jun], Soergel, U.[Uwe], Blaschke, T.[Thomas], Cui, S.Y.[Shi-Yong],
An Efficient Parallel Multi-Scale Segmentation Method for Remote Sensing Imagery,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Di, Y., Jiang, G., Yan, L., Liu, H., Zheng, S.,
Multi-scale Segmentation of High Resolution Remote Sensing Images By Integrating Multiple Features,
Hannover17(247-255).
DOI Link 1805
BibRef

Su, Y.Z.[Yan-Zhou], Cheng, J.[Jian], Bai, H.W.[Hai-Wei], Liu, H.J.[Hai-Jun], He, C.T.[Chang-Tao],
Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Cayllahua-Cahuina, E.[Edward], Cousty, J.[Jean], Guimarães, S.J.F.[Silvio Jamil F.], Kenmochi, Y.[Yukiko], Cámara-Chávez, G.[Guillermo], de Albuquerque Araújo, A.[Arnaldo],
Hierarchical segmentation from a non-increasing edge observation attribute,
PRL(131), 2020, pp. 105-112.
Elsevier DOI 2004
BibRef
Earlier:
A Study of Observation Scales Based on Felzenswalb-Huttenlocher Dissimilarity Measure for Hierarchical Segmentation,
DGCI19(167-179).
Springer DOI 1905
Hierarchical segmentation, Non-increasing attributes, Mathematical morphology BibRef

Al-Huda, Z.[Zaid], Peng, B.[Bo], Yang, Y.[Yan], Algburi, R.N.A.[Riyadh Nazar Ali],
Object scale selection of hierarchical image segmentation with deep seeds,
IET-IPR(15), No. 1, 2021, pp. 191-205.
DOI Link 2106
BibRef

Liu, Y.X.[Ye-Xin], Zhou, J.[Jian], Liu, L.[Lizhu], Zhan, Z.J.[Zheng-Jia], Hu, Y.Q.[Yue-Qiang], Fu, Y.Q.[Yong-Qing], Duan, H.G.[Hui-Gao],
FCP-Net: A Feature-Compression-Pyramid Network Guided by Game-Theoretic Interactions for Medical Image Segmentation,
MedImg(41), No. 6, June 2022, pp. 1482-1496.
IEEE DOI 2206
Image segmentation, Task analysis, Biomedical imaging, Feature extraction, Training, Lesions, Medical diagnostic imaging, branch layer fusion module BibRef

Zheng, Y.P.[Yun-Ping], Wen, D.[Dilong], Sarem, M.[Mudar],
A novel NAM-based image segmentation using hierarchical density-based spatial clustering,
IET-IPR(18), No. 5, 2024, pp. 1245-1257.
DOI Link 2404
image processing, image representation BibRef

Liu, S.[Shu], Qi, X.J.[Xiao-Juan], Shi, J.P.[Jian-Ping], Zhang, H.[Hong], Jia, J.Y.[Jia-Ya],
Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation,
CVPR16(3141-3149)
IEEE DOI 1612
BibRef

Lu, Y., Wan, Y., Li, G.,
Scale-constrained unsupervised evaluation method for multi-scale image segmentation,
ICIP16(2559-2563)
IEEE DOI 1610
Decision support systems BibRef