Milgram, D.L.[David L.],
Kahl, D.J.[Daryl J.],
Recursive Region Extraction,
CGIP(9), No. 1, 1979, pp. 82-88.
Elsevier DOI
Segmentation, Recursive.
BibRef
7900
Wermser, D.,
Haussmann, G.,
Liedtke, C.E.,
Segmentation of Blood Smears by Hierarchical Thresholding,
CVGIP(25), No. 2, February 1984, pp. 151-168.
Elsevier DOI
Segmentation, Thresholds.
BibRef
8402
Haussmann, G.,
Liedtke, C.E.,
A Region Extraction Approach to Blood Smear Segmentation,
CVGIP(25), No. 2, February 1984, pp. 133-150.
Elsevier DOI
BibRef
8402
Liedtke, C.E.,
Image Segmentation Considering Properties of the Human Visual System,
ISPDSA83(471-482).
BibRef
8300
Celenk, M.[Mehmet],
A Color Clustering Technique for Image Segmentation,
CVGIP(52), No. 2, November 1990, pp. 145-170.
Elsevier DOI
BibRef
9011
Earlier:
A Recursive Clustering Technique for Color Picture Segmentation,
CVPR88(437-444).
IEEE DOI
Segmentation, Color.
Clustering. Find clusters in cylinder sections of the histogram (hue and chroma).
BibRef
Celenk, M.,
Analysis of Color Images of Natural Scenes,
JEI(4), No. 4, October 1995, pp. 382-396.
BibRef
9510
Celenk, M.[Mehmet],
Color Scene Recognition Using Relational Distance Measurement,
SPIE(2727), March 1996, pp. 229-240.
BibRef
9603
Celenk, M.,
Smith, S.H.,
Color Image Segmentation by Clustering and
Parametric-Histogramming Technique,
ICPR86(883-886).
BibRef
8600
Choo, A.P.,
Maeder, A.J.,
Pham, B.,
Image Segmentation for Complex Natural Scenes,
IVC(8), No. 2, May 1990, pp. 155-163.
Elsevier DOI
BibRef
9005
Rignot, E., and
Chellappa, R.,
Segmentation of Synthetic Aperture Radar Complex Data,
JOSA-A(8), September 1991, pp. 1499-1509.
BibRef
9109
Rignot, E.,
Chellappa, R.,
Segmentation of Polarimetric Synthetic Aperture Radar Data,
IP(1), No. 3, July 1992, pp. 281-300.
IEEE DOI
SAR Imagery.
BibRef
9207
Rignot, E.,
Chellappa, R., and
Dubois, P.,
Unsupervised Segmentation of Polarimetric SAR Data Using the
Covariance Matrix,
GeoRS(30), July 1992, pp. 697-705.
BibRef
9207
Rignot, E., and
Chellappa, R.,
Maximum A Posteriori Classification of Multifrequency,
Multilook Synthetic Aperture Radar Intensity Data,
JOSA-A(10), April 1993, pp. 573-582.
BibRef
9304
Chellappa, R.,
Zelnio, E.G., and
Rignot, E.,
Understanding Synthetic Aperature Radar Images,
DARPA92(229-245).
Good overview of SAR.
BibRef
9200
Mitiran, J.,
Bouillant, S.,
Bourennane, E.,
SVM approximation for real-time image segmentation by using an improved
hyperrectangles-based method,
RealTimeImg(9), No. 3, June 2003, pp. 179-188.
Elsevier DOI
0310
BibRef
Zahara, E.[Erwie],
Fan, S.K.S.[Shu-Kai S.],
Tsai, D.M.[Du-Ming],
Optimal multi-thresholding using a hybrid optimization approach,
PRL(26), No. 8, June 2005, pp. 1082-1095.
Elsevier DOI
0506
BibRef
Fan, S.K.S.[Shu-Kai S.],
Lin, Y.[Yen],
A multi-level thresholding approach using a hybrid optimal estimation
algorithm,
PRL(28), No. 5, 1 April 2007, pp. 662-669.
Elsevier DOI
0703
Multi-level thresholding; Mixture Gaussian curve fitting;
Expectation maximization (EM); Particle swarm optimization (PSO)
BibRef
Fan, S.K.S.[Shu-Kai S.],
Lin, Y.[Yen],
A fast estimation method for the generalized Gaussian mixture
distribution on complex images,
CVIU(113), No. 7, July 2009, pp. 839-853.
Elsevier DOI
0905
Generalized Gaussian distribution (GGD); Shape parameter; Expectation
maximization (EM); Particle swarm optimization (PSO); Moment matching
estimator; Maximize likelihood estimator
BibRef
Hamdaoui, F.[Fayçal],
Ladgham, A.[Anis],
Sakly, A.[Anis],
Mtibaa, A.[Abdellatif],
A new images segmentation method based on modified particle swarm
optimization algorithm,
IJIST(23), No. 3, 2013, pp. 265-271.
DOI Link
1309
particle swarm optimization
BibRef
Hamdaoui, F.[Fayçal],
Sakly, A.[Anis],
Mtibaa, A.[Abdellatif],
FPGA implementation of particle swarm optimization based on new
fitness function for MRI images segmentation,
IJIST(25), No. 2, 2015, pp. 139-147.
DOI Link
1506
segmentation
BibRef
Ladgham, A.[Anis],
Hamdaoui, F.[Fayçal],
Sakly, A.[Anis],
Mtibaa, A.[Abdellatif],
Fast MR brain image segmentation based on modified Shuffled Frog
Leaping Algorithm,
SIViP(9), No. 5, July 2015, pp. 1113-1120.
Springer DOI
1506
BibRef
Mehmood, S.[Shahid],
Cagnoni, S.[Stefano],
Mordonini, M.[Monica],
Khan, S.A.[Shoab Ahmad],
An embedded architecture for real-time object detection in digital
images based on niching particle swarm optimization,
RealTimeIP(10), No. 1, March 2015, pp. 75-89.
Springer DOI
1503
BibRef
Cagnoni, S.[Stefano],
Mordonini, M.[Monica],
Sartori, J.[Jonathan],
Particle Swarm Optimization for Object Detection and Segmentation,
EvoIASP07(241-250).
Springer DOI
0704
BibRef
Mussi, L.[Luca],
Cagnoni, S.[Stefano],
Artificial Creatures for Object Tracking and Segmentation,
EvoIASP08(xx-yy).
Springer DOI
0804
BibRef
Kayal, S.[Subhradeep],
Unsupervised image segmentation using the Deffuant-Weisbuch model from
social dynamics,
SIViP(11), No. 8, November 2017, pp. 1405-1410.
WWW Link.
1710
BibRef
Zhang, J.W.[Jian-Wei],
Qi, J.[Jing],
Zheng, Z.H.[Zhao-Hui],
Sun, L.[Le],
A robust image segmentation framework based on total variation
spectral transform,
PRL(153), 2022, pp. 159-167.
Elsevier DOI
2201
Image segmentation, Total variation, Spectral transform,
Separation surface, Guided filter
BibRef
Lei, B.[Bo],
Li, J.M.[Jin-Ming],
Wang, N.N.[Ning-Ning],
Yu, H.Y.[Hai-Yan],
An efficient adaptive Masi entropy multilevel thresholding algorithm
based on dynamic programming,
JVCIR(98), 2024, pp. 104008.
Elsevier DOI
2402
Image segmentation, Multilevel thresholding, Masi entropy, Dynamic programming
BibRef
Fu, W.L.[Wen-Long],
Johnston, M.[Mark],
Zhang, M.J.[Meng-Jie],
A Hybrid Particle Swarm Optimisation with Differential Evolution
Approach to Image Segmentation,
EvoIASP11(173-182).
Springer DOI
1104
BibRef
Taylor, C.J.[Camillo Jose],
Towards Fast and Accurate Segmentation,
CVPR13(1916-1922)
IEEE DOI
1309
Segmentation
BibRef
Taylor, C.J.[Camillo J.],
Cowley, A.[Anthony],
Fast Segmentation via Randomized Hashing,
BMVC09(xx-yy).
PDF File.
0909
Based on feature vector for pixel.
BibRef
Sezgin, M.,
Sankur, B.,
Image multi-thresholding based on sample moment function,
ICIP03(II: 415-418).
IEEE DOI
0312
BibRef
Koch, I.,
Marshall, G.,
Bootstrap Coverage Plots for Image Segmentation,
ICPR96(II: 447-451).
IEEE DOI
9608
(The Univ. of Newcastle, AUS)
BibRef
Cox, I.J.,
Rao, S.B.,
Zhong, Y.[Yu],
Ratio Regions: A Technique for Image Segmentation,
ICPR96(II: 557-564).
IEEE DOI
9608
(NEC Res. Institute Inc., USA)
BibRef
Lee, C.H.,
Iterative Region Segmentation,
PRIP82(557-559).
An experiment to see what is needed to segment a variety of types of
objects (point, line, area). Nothing which isn't obvious.
BibRef
8200
Sakaue, K.[Katsuhiko], and
Takagi, M.[Mikio],
Image Segmentation by Iterative Method,
ICPR82(192-194).
The paper talks around obvious issues and says nothing.
BibRef
8200
Sakaue, K.[Katsuhiko], and
Takagi, M.[Mikio],
Separation of Overlapping Particles by Iterative Method,
ICPR80(522-524).
BibRef
8000
Priese, L., and
Rehrmann, V.,
On Hierarchical Color Segmentation and Applications,
CVPR93(633-634).
IEEE DOI
BibRef
9300
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Two-Dimensional Histogram Analysis for Segmentation .