7.22.2 H.2. Texture: Modeling, etc.

Chapter Contents (Back)

McGuire, M.,
An Eye For Fractals: A Graphic/Photographic Essay, Addison-Wesley, Reading,
MA(92), pp. 1991. BibRef

Vicsek, T.,
Fractal Growth Phenomena (Second Edition), World Scientific,
SINGAPORE(92), pp. 1992. BibRef

El Naschie, M.S.,
Chaos, Solitons, And Fractals, Pergamon Press,
LONDON, 1991ff. BibRef

Ghazanfarpour, D., Peroche, B.,
A High-Quality Filtering Using Forward Texture Mapping,
C&G(15), 1991, pp. 569-577. BibRef

Bidasaria, H.B.,
Defining And Rendering Of Textured Objects Through The Use Of Exponential Functions,
GMIP(54), 1992, pp. 97-102. BibRef

Acuna, C.O.,
Texture Modeling Using Gibbs Distributions,
GMIP(54), 1992, pp. 210-222. BibRef

Atalay, V., Gelenbe, E., Yalabik, N.,
The Random Neural Network Model For Texture Generation,
IJPRAI(6), 1992, pp. 131-141. BibRef

Segal, M., Korobkin, C., van Widenfelt, R., Foran, J., Haeberli, P.,
Fast Shadows And Lighting Effects Using Texture Mapping,
SIGGRAPH(92), pp. 249-252. BibRef

Basu, M., Lin, Z.,
Multi-Scale Modeling Of Textures,
ICPR(C), pp. 421-424. BibRef

Cohen, F.S., Fan, Z.,
Maximum Likelihood Unsupervised Textured Image Segmentation,
GMIP(54), 1992, pp. 239-251. BibRef

Won, C.S., Derin, H.,
Unsupervised Segmentation Of Noisy And Textured Images Using Markov Random Fields,
GMIP(54), 1992, pp. 308-328. BibRef

Meisels, A., Versano, R.,
Token-Textured Object Detection By Pyramids,
IVC(10), 1992, pp. 55-62. BibRef

Jain, A.K., Farrokhnia, F.,
Unsupervised Texture Segmentation Using Gabor Filters,
PR(24), 1991, pp. 1167-1186. BibRef

Mao, J., Jain, A.K.,
Texture Classification And Segmentation Using Multiresolution Simultaneous Autoregressive Models,
PR(25), 1992, pp. 173-188. BibRef

88

Chang, C., Chatterjee, S.,
A Hybrid Approach Toward Model-Based Texture Segmentation,
PR(25), 1992, pp. 519-531. BibRef

He, D.C., Wang, L.,
Detecting Texture Edges From Images,
PR(25), 1992, pp. 595-600. BibRef

Dougherty, E.R., Newell, J.T., Pelz, J.B.,
Morphological Texture-Based Maximum-Likelihood Pixel Classification Based On Local Granulometric Moments,
PR(25), 1992, pp. 1181-1198. BibRef

Lee, J.H., Lee, N.I., Kim, S.D.,
A Fast And Adaptive Method To Estimate Texture Statistics By The Spatial Gray Level Dependence Matrix For Texture Image Segmentation,
PRL(13), 1992, pp. 291-303. BibRef

du Buf, J.M.H.,
Abstract Processes In Texture Discrimination,
SPATIAL VISION(6), 1992, pp. 221-242. BibRef

Bello, M.G.,
A Random-Field Model-Based Algorithm For Anomalous Complex Image Pixel Detection,
T-IP(1), 1992, pp. 186-196. BibRef

Ravishankar Rao, A., Jain, R.C.,
Computerized Flow Field Analysis: Oriented Textured Fields,
T-PAMI(14), 1992, pp. 693-709. BibRef

Klassen, R.V., Harrington, S.J.,
Visualising Two-Dimensional Vector Fields Using Directed Halftone Cells,
VC(8), 1992, pp. 327-337. BibRef

Pong, T.C., Madarasmi, S., Chu, Y.L.,
Texture Segmentation Using Topographic Labels,
CVIP(92), pp. 537-554. BibRef

Fleck, M.M.,
Texture: Plus Ca Change,
ECCV(92), pp. 151-159. BibRef

Casals, A., Amat, J., Grau, A.,
Texture Parametrization Method For Image Segmentation,
ECCV(92), pp. 160-164. BibRef

Lee, T.S., Mumford, D., Yuille, A.,
Texture Segmentation By Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model,
ECCV(92), pp. 165-173. BibRef

Casadei, S., Mitter, S., Perona, P.,
Boundary Detection In Piecewise Homogeneous Textured Images,
ECCV(92), pp. 174-183. BibRef

Bigun, J., du Buf, J.M.H.,
Geometric Image Primitives By Complex Moments In Gabor Space And The Application To Texture Segmentation,
CVPR(92), pp. 648-650. BibRef

89

Haddon, J.F., Boyce, J.F.,
Texture Segmentation And Region Classification By Orthogonal Decomposition Of Cooccurrence Matrices,
ICPR(A), pp. 692-695. BibRef

Bigun, J.,
Unsupervised Feature Reduction In Image Segmentation By Local Karhunan-Loeve Transform,
ICPR(B), pp. 79-83. BibRef

Berthod, M., Liu-Yu, S., Stromboni, J.P.,
Deterministic Pseudo-Annealing: A New Optimization Scheme Applied To Texture Segmentation,
ICPR(B), pp. 533-536. BibRef

Limas Serafim, A.F.,
Segmentation Of Natural Images Based On Multiresolution Pyramids Linking Of The Parameters Of An Autoregressive Rotation Invariant Model. Application To Leather Defects Detection,
ICPR(C), pp. 41-44. BibRef

Tuceryan, M.,
Moment Based Texture Segmentation,
ICPR(C), pp. 45-48. BibRef

You, J., Cohen, H.A.,
An Orientation And Resolution Independent Texture Classifier In Segmentation Of Images Of Unknown Rotation And Scale,
ICPR(C), pp. 49-52. BibRef

Zhu, Y.M., Gao, Y., Goutte, R., Amia, M.,
Textural Boundary Detection Using Local Spatial Frequency Analysis,
ICPR(C), pp. 53-56. BibRef

(X. Yu) And J. Yla-Jaaski, Unsupervised Texture Segmentation Based On The Modified Markov Random Field Model,
ICPR C, 88-91.

Patel, D., Stonham, T.J.,
Texture Image Classification And Segmentation Using Rank-Order Clustering,
ICPR(C), pp. 92-95. BibRef

Visa, A.,
Unsupervised Image Segmentation Based On A Self-Organizing Feature Map And A Texture Measure,
ICPR(C), pp. 101-104. BibRef

Tseng, D.C., Shieh, W.J.,
Plume Segmentation Using Local Entropic Thresholding,
ICPR(C), pp. 156-159. BibRef

Ng, I., Tan, T., Kittler, J.,
On Local Linear Transform And Gabor Filter Representation Of Texture,
ICPR(C), pp. 627-631. BibRef

Wen, W., Fryer, R.J.,
Multiscale Texture Element Detection,
PRL(12), 1991, pp. 793-804. BibRef

90

Chapter on Rosenfeld Bibliography for 1992 continues in
H.3. Texture: Description, etc. .


Last update:Jun 7, 2018 at 10:14:50