Thompson, W.B.,
Texture Boundary Analysis,
TC(26), 1977, pp. 272-276.
Edge Detection.
BibRef
7700
Davis, L.S., and
Mitiche, A.,
Edge Detection in Textures: Maxima Selection,
CGIP(16), No. 2, June 1981, pp. 158-165.
WWW Version.
BibRef
8106
Davis, L.S., and
Mitiche, A.,
MITES: A Model Driven, Iterative Texture Segmentation Algorithm,
CGIP(19), No. 2, June 1982, pp. 95-110.
WWW Version. Uses Spatial coherence of uniformly textured regions; and a priori
statistical information to pick which regions a point belongs in,
if a priori statistics are not known, a clustering procedure is
used.
Texture paper:
See also Edge Detection in Textures.
BibRef
8206
Vistnes, R.,
Texture Models and Image Measures for Texture Discrimination,
IJCV(3), No. 4, November, 1989, pp. 313-336.
BibRef
8911
Earlier:
Texture Models and Image Measures for Segmentation,
DARPA88(1005-1015).
BibRef
Vistnes, R.,
Texture Edge Localization,
DARPA88(1147-1154).
BibRef
8800
Khotanzad, A., and
Chen, J.Y.,
Unsupervised Segmentation of Textured Images by Edge Detection
in Multidimensional Features,
PAMI(11), No. 4, April 1989, pp. 414-421.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
8904
He, D.C.,
Wang, L.,
Detecting Texture Edges from Images,
PR(25), No. 6, June 1992, pp. 595-600.
WWW Version.
BibRef
9206
Jones, G.,
Image Segmentation Using Texture Boundary Detection,
PRL(15), No. 6, June 1994, pp. 533-541.
BibRef
9406
Yhann, S.R.,
Young, T.Y.,
Boundary Localization in Texture Segmentation,
IP(4), No. 6, June 1995, pp. 849-856.
WWW Version.
BibRef
9506
Earlier:
A multiresolution approach to texture segmentation using neural
networks,
ICPR90(I: 513-517).
WWW Version.
9006
BibRef
Augusteijn, M.F.,
Clemens, L.E.,
A Neural-Network Approach to the Detection of Texture Boundaries,
EngAAI(9), No. 1, February 1996, pp. 75-81.
BibRef
9602
Palmer, P.L.,
Petrou, M.,
Locating Boundaries of Textured Regions,
GeoRS(35), No. 5, September 1997, pp. 1367-1371.
IEEE Top Reference.
9710
BibRef
Krishnasamy, K.,
Petrou, M.,
The Identification of Textured Region Boundaries,
BMVC94(125-134).
BibRef
9400
Fatemi-Ghomi, N.,
Palmer, P.,
Petrou, M.,
Performance Evaluation of Texture Segmentation Algorithms
Based on Wavelets,
PERF96(XX-YY).
HTML Version.
BibRef
9600
Zhou, G.Y.[Gui-Yun],
Lam, N.S.N.[Nina S.N.],
Reducing Edge Effects in the Classification of High Resolution Imagery,
PhEngRS(74), No. 4, April 2008, pp. 432-442.
WWW Version.
0804Reducing edge effects using texture.
BibRef
Shahrokni, A.[Ali],
Drummond, T.W.[Tom W.],
Fua, P.[Pascal],
Texture Boundary Detection for Real-Time Tracking,
ECCV04(Vol II: 566-577).
WWW Version.
0405texture boundary detection that only requires a line-search in the
direction normal to the edge.
BibRef
Rittscher, J.,
Sullivan, J.,
An Integral Criterion for Detecting Boundary Edges and Textured Regions,
ICPR00(Vol III: 1064-1067).
WWW Version.
HTML Version.
0009
BibRef
Zhu, Y.M.,
Gao, Y.,
Goutte, R.,
Amiel, M.,
Textural boundary detection using local spatial frequency analysis,
ICPR92(III:53-56).
WWW Version.
9208
BibRef
Lai, P.G., and
Ehrich, R.W.,
Texture Boundary Formation via Structural Region Growing,
VPISU-TR, May 1984, revised June 1985.
Collects textural elements, and spreads the area they cover (i.e.
whatever is closest) to do the region analysis.
BibRef
8405
Brzakovic, D.,
Tou, J.T.,
Boundary Determination of Object Surfaces via Textural Information,
ICPR84(280-283).
BibRef
8400
Verbeek, P.W.,
de Jong, D.J.,
Edge Preserving Texture Analysis,
ICPR84(1030-1032).
See also Edge Preserving Orientation Adaptive Filtering.
BibRef
8400
Triendl, E.,
Henderson, T.C.,
A Model for Texture Edges,
ICPR80(1100-1102).
BibRef
8000
Grinaker, S.,
Edge Based Segmentation and Texture Separation,
ICPR80(554-557).
BibRef
8000
Yachida, M.,
Ikeda, M., and
Tsuji, S.,
A Knowledge Directed Line Finder for Analysis of Complex Scenes,
IJCAI79(984-991).
BibRef
7900
Yachida, M.,
Ikeda, M., and
Tsuji, S.,
Boundary Detection of Textured Regions,
IJCAI79(992-994).
BibRef
7900
Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
MRF Models for Segmentation .