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CGIP(6), No. 3, June 1977, pp. 221-276.
Elsevier DOI
Survey, Segmentation.
Segmentation, Survey.
Segmentation, Color.
Color Segmentation.
Relaxation.
Relaxation, Edges. Use of knowledge about scene in analysis (i.e.,
segmentation.); requires new structures for each type of scene (but
[apparently] people don't need this.); usually boundaries are
visible in intensity, but color is important; texture - hierarchical
approach; boundaries; relaxation; region formation - growing,
clusters, both?; labeled/unlabeled drawing; Ohlander; 2-D histogram
as equivalent to 1-D histogram and not clearly explained, but...;
result: combine many algorithms, redundant information/
representations (cones!), pool of features, (general system rather
than specific).
BibRef
7706
Fu, K.S.,
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A survey on Image Segmentation,
PR(13), No. 1, 1981, pp. 3-16.
Elsevier DOI
Survey, Segmentation.
Segmentation, Survey. Since little is known about how to measure segmentation, no comments
on how well an algorithm works.
BibRef
8100
Haralick, R.M., and
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Image Segmentation Techniques,
CVGIP(29), No. 1, January 1985, pp. 100-132.
Elsevier DOI (Then at Machine Vision Intl.)
Evaluation, Segmentation.
Survey, Segmentation.
Segmentation, Criteria. A survey of a large number of segmentation methods. Techniques
include spatial clustering, thresholding, region growing, split and
merge. Examples are given of various methods.
Criteria for a good segmentation: uniform and homogeneous with respect to
some feature. Adjacent regions should have significantly different values
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spatially accurate.
BibRef
8501
di Zenzo, S.,
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IVC(1), No. 4, November 1983, pp. 196-210.
Elsevier DOI
BibRef
8311
Nevatia, R.,
Image Segmentation,
HPRIP86(215-231).
BibRef
8600
USC Computer Vision
Survey, Segmentation.
Segmentation, Survey.
BibRef
Zucker, S.W.,
Algorithms for Image Segmentation,
DIPA77(169-183).
Segmentation, Algorithms.
BibRef
7700
Sklansky, J.,
Image Segmentation and Feature Extraction,
SMC(8), No. 4, 1978, pp. 237-247.
IEEE DOI
BibRef
7800
Rosenfeld, A., and
Davis, L.S.,
Image Segmentation and Image Models,
PIEEE(67), No. 5, May 1979, pp. 764-772.
BibRef
7905
Kanade, T.[Takeo],
Region Segmentation: Signal vs. Semantics,
CGIP(13), No. 4, August 1980, pp. 279-297.
Elsevier DOI
BibRef
8008
Earlier:
ICPR78(95-105).
Segmentation, Knowledge.
BibRef
Mitiche, A.[Amar],
Aggarwal, J.K.,
Image Segmentation by Conventional and
Information-Integrating Techniques: A Synopsis,
IVC(3), No. 2, May 1985, pp. 50-62.
Elsevier DOI
Survey, Segmentation. Survey type article that discusses segmentation in terms of
combining information from several frames (mostly just
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BibRef
8505
Cooper, M.C.[Martin C.],
The Tractability of Segmentation and Scene Analysis,
IJCV(30), No. 1, October 1998, pp. 27-42.
DOI Link Computational complexity of segmentation.
NP. Region merging with global minimum for segmentation.
BibRef
9810
Kerfoot, I.B.,
Bresler, Y.,
Theoretical Analysis of Multispectral Image Segmentation Criteria,
IP(8), No. 6, June 1999, pp. 798-820.
IEEE DOI
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9906
Serra, J.[Jean],
A Lattice Approach to Image Segmentation,
JMIV(24), No. 1, January 2006, pp. 83-130.
Springer DOI
0605
BibRef
Serra, J.[Jean],
Connective segmentation,
ICIP08(2192-2195).
IEEE DOI
0810
BibRef
Serra, J.,
Image segmentation,
ICIP03(I: 345-348).
IEEE DOI
0312
BibRef
Zhang, Y.J.[Yu-Jin], (Ed.)
Advances in Image and Video Segmentation,
IRM Press2006
ISBN: 1-59140-753-2.
WWW Link.
Evaluation, Segmentation. Includes discussion of algorithms and evaluations.
BibRef
0600
Dufourd, J.F.[Jean-Francois],
Design and formal proof of a new optimal image segmentation program
with hypermaps,
PR(40), No. 11, November 2007, pp. 2974-2993.
Elsevier DOI
0707
Image segmentation; Hypermaps; Formal specification; Coq system;
Computer-aided correctness proof
BibRef
Paragios, N.[Nikos],
Guest Editorial: Special Issue on Variational and Level Set Methods in
Computer Vision,
IJCV(50), No. 3, December 2002, pp. 235-235.
DOI Link
0211
BibRef
Wang, Q.,
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1204
Dataset, Segmentation.
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Cremers, D.[Daniel],
Optimal solutions for semantic image decomposition,
IVC(30), No. 8, August 2012, pp. 476-477.
Elsevier DOI
1209
Opinion paper; Optimization; Efficient algorithms; Convexity; Semantic
labeling
BibRef
Gill, J.[Jasmeen],
Girdhar, A.[Akshay],
Singh, T.[Tejwant],
A Review of Enhancement and Segmentation Techniques for Digital Images,
IJIG(19), No. 3 2019, pp. 1950013.
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1908
Survey, Segmentation.
Survey, Enhancement.
BibRef
Luo, S.[Shuai],
Li, Y.J.[Yu-Jie],
Gao, P.X.[Peng-Xiang],
Wang, Y.C.[Yi-Chuan],
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Elsevier DOI
2204
Deep learning, Image segmentation, Meta-learning, Computer vision
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2205
Scene parsing, Label transfer, Non-parametric
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Wang, Y.B.[Yuan-Bo],
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Survey, Segmentation.
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Csurka, G.[Gabriela],
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2211
Survey, Semantic Segmentation.
BibRef
Velastegui, R.[Ronny],
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Karaoglu, S.[Sezer],
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Image semantic segmentation of indoor scenes: A survey,
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Elsevier DOI
2409
Image semantic segmentation, Indoor semantic segmentation,
Scene labeling, Deep learning
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Azad, R.[Reza],
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Jia, Y.W.[Yi-Wei],
Avval, A.H.[Atlas Haddadi],
Bozorgpour, A.[Afshin],
Karimijafarbigloo, S.[Sanaz],
Cohen, J.P.[Joseph Paul],
Adeli, E.[Ehsan],
Merhof, D.[Dorit],
Medical Image Segmentation Review: The Success of U-Net,
PAMI(46), No. 12, December 2024, pp. 10076-10095.
IEEE DOI
2411
Image segmentation, Biomedical imaging, Taxonomy,
Computer architecture, Feature extraction, Transformers, U-Net
BibRef
Grady, L.[Leo],
Jolly, M.P.[Marie-Pierre],
Seitz, A.[Aaron],
Segmentation from a box,
ICCV11(367-374).
IEEE DOI
1201
User draws a box around the region. Study whether this should work by human tests.
BibRef
Viitaniemi, V.[Ville],
Laaksonen, J.T.[Jorma T.],
Techniques for Image Classification, Object Detection and Object
Segmentation,
Visual08(xx-yy).
Springer DOI
0809
BibRef
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Comparison and Evaluation of Different Techniques, Segmentation Evaluation, Benchmarks .