Keith Price Bibliography Multi-level Segmentation and Smoothing Methods

8.5.1 Multi-level Segmentation and Smoothing Methods

Chapter Contents (Back)
Smoothing. Multi-level Segmentation. Segmentation, Multi-Level. Pyramid Structure. See also Smoothing Techniques.

Ranade, S., and Shneier, M.O.,
Using Quadtrees to Smooth Images,
SMC(11), No. 5, May 1981, pp. 373-376. BibRef 8105

Gross, A.D., and Rosenfeld, A.,
Multiresolution Object Detection and Delineation,
CVGIP(39), No. 1, July 1987, pp. 102-115. (Strange title) Segmentation using interest operator at different levels to determine when to segment an area. BibRef 8707

Bongiovanni, G., Cinque, L., Levialdi, S., and Rosenfeld, A.,
Image Segmentation by a Multiresolution Approach,
PR(26), No. 12, December 1993, pp. 1845-1854.
WWW Version. BibRef 9312

Cinque, L., Levialdi, S., Rosenfeld, A.,
Fast Pyramidal Algorithms for Image Thresholding,
PR(28), No. 6, June 1995, pp. 901-906.
WWW Version. Segmentation, Thresholds. BibRef 9506

Cantoni, V., Lombardi, L., Cinque, L., Levialdi, S., Guerra, C.,
Recognizing 2D Objects by a Multi-Resolution Approach,
ICPR94(C:310-316).
WWW Version. BibRef 9400

Kasif, S.[Simon], and Rosenfeld, A.,
Pyramid Linking is a Special Case of ISODATA,
SMC(13), No. 1, January/February 1983, pp. 84-85. The pyramid linking method is a special case of the isodata clustering method, therefore is guaranteed to terminate. BibRef 8301

Hong, T.H.[Tsai-Hong], Narayanan, K.A., Peleg, S.[Shmuel], Rosenfeld, A., Silberberg, T.M.[Teresa],
Image Smoothing and Segmentation by Multiresolution Pixel Linking: Further Experiments and Extensions,
SMC(12), No. 5, September/October 1982, pp. 611-622. This reports on more work on pixel linking (from BibRef 8209 UMD-TR 977, 989, 1025). The Eklundh and Rosenfeld paper is the primary reference. BibRef

Narayanan, K.A., Rosenfeld, A.,
Approximation of Waveforms and Contours by One-Dimensional Pyramid Linking,
PR(15), No. 5, 1982, pp. 389-396.
WWW Version. BibRef 8200

Silberberg, T.[Teresa], Peleg, S.[Shmuel], and Rosenfeld, A.,
Multi-Resolution Pixel Linking for Image Smoothing and Segmentation,
DARPA81(32-38). BibRef 8100

Eklundh, J.O., and Rosenfeld, A.,
Image Smoothing Based on Neighbor Linking,
PAMI(3), No. 6, November 1981 pp. 679-683. BibRef 8111

Eklundh, J.O., and Rosenfeld, A.,
Peak Detection Using Difference Operators,
PAMI(1), No. 3, July 1979, pp. 317-325. BibRef 7907

Pietikainen, M.[Matti], and Rosenfeld, A.[Azriel],
Image Segmentation by Texture Using Pyramid Node Linking,
SMC(11), No. 12, December 1981, pp. 822-825. This extends the pyramid linking method to using texture parameters for the linking decision. See also Texture discrimination with multidimensional distributions of signed gray-level differences. BibRef 8112

Pietikainen, M.[Matti], and Rosenfeld, A.[Azriel],
Gray Level Pyramid Linking as an Aid in Texture Analysis,
SMC(12), 1982, pp. 422-429. BibRef 8200

Pietikainen, M.[Matti], Rosenfeld, A.[Azriel], and Davis, L.S.,
Experiments with Texture Classification Using Averages of Local Pattern Matches,
SMC(13), 1983, pp. 421-426. BibRef 8300

Pietikainen, M.[Matti],
Image Texture Analysis and Segmentation,
Acta Universiartis Ouluensis, Series C, Technica No. 21, Electornica No. 1. Univ. of OuluMarch 1982. Oulu, Finland. Evaluation, Texture. A comparative study and a look at Pyramid node linking from Pietikainen's texture work while at UMd. BibRef 8203

Burt, P.J.[Peter J.], Hong, T.H.[Tsai-Hong], and Rosenfeld, A.[Azriel],
Segmentation and Estimation of Image Region Properties Through Cooperative Hierarchical Computation,
SMC(11), No. 12, December 1981, pp. 802-809. This paper gives the primary definition of the linked pyramid method. Otherwise, little content. BibRef 8112

Pietikainen, M.[Matti], Rosenfeld, A.[Azriel], and Walter, I.[Ingrid],
Split-and-Link Algorithms for Image Segmentation,
PR(15), No. 4, 1982, pp. 287-298.
WWW Version. An alternative to split and merge. The major difference is that the levels are overlapped so that each pixel can be the descendant of several (4) others. The linking is done to the one that looks most like yourself. This eliminates some of the problems in the initial splitting. BibRef 8200

Cibulskis, J.M., Dyer, C.R.,
An Analysis of Node Linking in Overlapped Pyramids,
SMC(14), 1984, pp. 424-436. BibRef 8400

Baronti, S.[Stefano], Casini, A.[Andrea], Lotti, F.[Franco], Favaro, L., and Roberto, V.,
Variable Pyramid Structures for Image Segmentation,
CVGIP(49), No. 3, March 1990, pp. 346-356.
WWW Version. Various modifications to the earlier linked pyramid algorithms. BibRef 9003

Baronti, S.[Stefano], Casini, A.[Andrea], Lotti, F.[Franco], Porcinai, S.[Simone],
Segmentation of multispectral images of works of art through principal component analysis,
CIAP97(I: 14-21).
WWW Version. 9709 BibRef

Grosky, W.I., and Jain, R.C.,
A Pyramid-Based Approach to Segmentation Applied to Region Matching,
PAMI(8), No. 5, September 1986, pp. 639-650. BibRef 8609

Jain, R., Grosky, W.I.,
Hyper-Pyramids for Integration of Spatial Information,
SPMSF87(72-81). BibRef 8700

Antonisse, H.J.,
Image Segmentation in Pyramids,
CGIP(19), No. 4, August 1982, pp. 367-383.
WWW Version. Linked Pyramids: reduce with overlap, link to parent when average is closest, recompute the averages using only those linked, reset links, etc. until no change (at all levels). Limited to 4 classes (top of pyramid). Various "fixes" produce similar results (holes, etc. cause problems). Unforced linking - not forced to link to a parent (form new regions at higher resolutions). Link at low tolerance and cluster the small regions. BibRef 8208

Lifshitz, L.M., and Pizer, S.M.,
A Multiresolution Hierarchical Approach to Image Segmentation Based on Intensity Extrema,
PAMI(12), No. 6, June 1990, pp. 529-540.
IEEE Abstract. IEEE Top Reference.
WWW Version. Different smoothing levels, linked between levels, applied to medical image analysis. BibRef 9006

Morse, B.S., Pizer, S.M., Liu, A.,
Multiscale Medial Analysis Of Medical Images,
IVC(12), No. 6, July-August 1994, pp. 327-338.
WWW Version. BibRef 9407

Haring, S., Viergever, M.A., Kok, J.N.,
Kohonen Networks For Multiscale Image Segmentation,
IVC(12), No. 6, July-August 1994, pp. 339-344.
WWW Version. BibRef 9407

Liu, J.Q., Yang, Y.H.,
Multiresolution Color Image Segmentation,
PAMI(16), No. 7, July 1994, pp. 689-700.
IEEE Abstract. IEEE Top Reference.
WWW Version. Segmentation, Color. Evaluation, Segmentation. Segmentation, Evaluation. Introduced an evaluation function for segmentation that rewards fewer regions, larger (i.e. similar sizes) regions, and uniform regions. SQRT(Regions)*Sum Over Regions of (difference from mean squared divided by SQRT(region size). Use neighborhoods. BibRef 9407

Chen, Y.S., Yen, H.T., Hsu, W.H.,
Compression of Color Image via the Technique of Surface Fitting,
GMIP(56), No. 3, May 1994, pp. 272-279. Compression, Color. Segmentation, Color. BibRef 9405
Earlier:
Color image coding by using the technique of surface fitting,
ICPR92(III:37-40).
WWW Version. 9208 BibRef

Williams, L.C.[Leon C.],
Automatic image segmentation with smoothing,
US_Patent5,327,262, July 5, 1994.
WWW Version. BibRef 9407

Nacken, P.F.M.,
Image Segmentation by Connectivity Preserving Relinking in Hierarchical Graph Structures,
PR(28), No. 6, June 1995, pp. 907-920.
WWW Version. BibRef 9506

Bister, M., Cornelis, J., Rosenfeld, A.,
A Critical View of Pyramid Segmentation Algorithms,
PRL(11), 1990, pp. 605-617. BibRef 9000

Postolache, A., Trecat, J.,
Pyramidal Approach to License Plate Segmentation,
JEI(5), No. 3, July 1996, pp. 402-409. 9703 BibRef

Bajcsy, P.[Peter], Ahuja, N.[Narendra],
Location Based and Density Based Hierarchical Clustering Using Similarity Analysis,
PAMI(20), No. 9, September 1998, pp. 1011-1015.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9809 BibRef
Earlier:
Hierarchical Image Segmentation Using Similarity Analysis,
DARPA97(541-546). BibRef

Bajcsy, P.[Peter], Ahuja, N.[Narendra],
A New Framework for Hierarchical Segmentation Using Homogeneity Analysis,
ScaleSpace97(xx). 9702 BibRef

Brandtberg, T.[Tomas], Walter, F.[Fredrik],
Automated Delineation of Individual Tree Crowns in High Spatial Resolution Aerial Images by Multiple Scale Analysis,
MVA(11), No. 2, October 1998, pp. 64-73.
HTML Version. 9811Segmentation of Tree Crowns. BibRef

Borgefors, G.[Gunilla], Brandtberg, T.[Tomas], Walter, F.[Fredrik],
Forest Parameter Extraction from Airborne Sensors,
ISPRSGIS99(151-158). Aerial color IR, Laser scanner, and SAR data. Process the SAR data, given some input from the others. BibRef 9900

Brandtberg, T.,
Structure-based Classification of Tree Species in High Spatial Resolution Aerial Images Using a Fuzzy Clustering Technique,
SCIA99(165-172). BibRef 9900

Rezaee, M.R., van der Zwet, P.M.J., Lelieveldt, B.P.F., van der Geest, R.J., Reiber, J.H.C.,
A Multiresolution Image Segmentation Technique Based on Pyramidal Segmentation and Fuzzy Clustering,
IP(9), No. 7, July 2000, pp. 1238-1248.
WWW Version. 0006 BibRef

Guichard, F.[Frederic], and Morel, J.M.[Jean-Michel],
Image Iterative Smoothing and PDE's,
Online BookSeptember 2000.
HTML Version. BibRef 0009

Leite, N.J.[Neucimar J.], Guimar�es, S.J.F.[S�lvio J. F.],
Morphological Residues and a General Framework for Image Filtering and Segmentation,
JASP(2001), No. 4, December 2001, pp. 219-229. 0201 BibRef

Teixeira, M.D.[Marta D.], Leite, N.J.[Neucimar J.],
Monotonicity-preserving Operations and the Morphological Scale-Space Method for Image Segmentation,
ICIP99(27AP1). Not in proceedings. BibRef 9900

Prewer, D.[David], Kitchen, L.[Les],
Soft image segmentation by weighted linked pyramid,
PRL(22), No. 2, February 2001, pp. 123-132. 0101 BibRef

Cheng, H.[Hui], Bouman, C.A.,
Multiscale bayesian segmentation using a trainable context model,
IP(10), No. 4, April 2001, pp. 511-525.
WWW Version. 0104 BibRef
Earlier:
Trainable context model for multiscale segmentation,
ICIP98(I: 610-614).
WWW Version. 9810 BibRef

Petrovic, A., Escoda, O.D., Vandergheynst, P.,
Multiresolution Segmentation of Natural Images: From Linear to Nonlinear Scale-Space Representations,
IP(13), No. 8, August 2004, pp. 1104-1114.
WWW Version. 0409 BibRef

de Andrade, M.C.[Marcos Carneiro],
An Interactive Algorithm for Image Smoothing and Segmentation,
ELCVIA(4), No. 1, October 2004, pp. xx-yy.
WWW Version. 0410 BibRef

O'Callaghan, R.J., Bull, D.R.,
Combined Morphological-Spectral Unsupervised Image Segmentation,
IP(14), No. 1, January 2005, pp. 49-62.
WWW Version. 0501 BibRef

Erikson, M.[Mats],
Two preprocessing techniques based on grey level and geometric thickness to improve segmentation results,
PRL(27), No. 3, February 2006, pp. 160-166.
WWW Version. 0512 BibRef

Gimenez, D.[David], Evans, A.N.[Adrian N.],
An evaluation of area morphology scale-spaces for colour images,
CVIU(110), No. 1, April 2008, pp. 32-42.
WWW Version. 0804 BibRef
Earlier:
Colour Morphological Scale-Spaces for Image Segmentation,
BMVC05(xx-yy).
HTML Version. 0509Colour scale-spaces; Morphological sieves; Image segmentation BibRef

Subakan, O.[Ozlem], Jian, B.[Bing], Vemuri, B.C.[Baba C.], Vallejos, C.E.[C. Eduardo],
Feature Preserving Image Smoothing Using a Continuous Mixture of Tensors,
ICCV07(1-6).
WWW Version. 0710 BibRef

Wan, T.[Tao], Canagarajah, N.[Nishan], Achim, A.[Alin],
Statistical Multiscale Image Segmentation via Alpha-Stable Modeling,
ICIP07(IV: 357-360).
WWW Version. 0709 BibRef