Milgram, D.L., and
Kahl, D.J.,
Recursive Region Extraction,
CGIP(9), No. 1, 1979, pp. 82-88.
WWW Version.
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.
WWW Version.
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.
WWW Version.
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.
WWW Version.
BibRef
9011
Earlier:
A Recursive Clustering Technique for Color Picture Segmentation,
CVPR88(437-444).
IEEE Abstract. IEEE Top Reference.
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.
WWW Version.
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 Link
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.
WWW Version.
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.
WWW Version.
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.
WWW Version.
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 Link
WWW Version.
0905
Generalized Gaussian distribution (GGD); Shape parameter; Expectation
maximization (EM); Particle swarm optimization (PSO); Moment matching
estimator; Maximize likelihood estimator
BibRef
Cagnoni, S.[Stefano],
Mordonini, M.[Monica],
Sartori, J.[Jonathan],
Particle Swarm Optimization for Object Detection and Segmentation,
EvoIASP07(241-250).
Springer DOI Link
0704
BibRef
Sezgin, M.,
Sankur, B.,
Image multi-thresholding based on sample moment function,
ICIP03(II: 415-418).
IEEE Abstract. IEEE Top Reference.
0312
BibRef
Koch, I.,
Marshall, G.,
Bootstrap Coverage Plots for Image Segmentation,
ICPR96(II: 447-451).
IEEE DOI Link
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 Link
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 Abstract. IEEE Top Reference.
BibRef
9300
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Two-Dimensional Histogram Analysis for Segmentation .