8.8.4 Fractal Texture Segmentation

Chapter Contents (Back)
Fractals. Segmentation, Texture. See also Fractals for Texture Analysis and Description, Fractal Dimension. See also Fractal Representations, Fractal Dimension. See also Fractal Based Coding and Compression, Fractal Coding, Fractal Compression.

Keller, J.M., Crownover, R.M., and Chen, R.Y.,
Characteristics of Natural Scenes Related to the Fractal Dimension,
PAMI(9), No. 5, September 1987, pp. 6221-627. BibRef 8709

Keller, J.M.[James M.], Chen, S.S.[Susan S.], Crownover, R.M.[Richard M.],
Texture Description and Segmentation through Fractal Geometry,
CVGIP(45), No. 2, February 1989, pp. 150-166.
Elsevier DOI Fractals. See also Shape from Fractal Geometry. Introduce Lacunarity to capture second-order statistics of fractal surfaces. BibRef 8902

Chen, S.S., Keller, J.M., Crownover, R.M.,
On the calculation of fractal features from images,
PAMI(15), No. 10, October 1993, pp. 1087-1090.
IEEE DOI 0401
BibRef

Chaudhuri, B.B., Sarkar, N.,
Texture Segmentation Using Fractal Dimension,
PAMI(17), No. 1, January 1995, pp. 72-77.
IEEE DOI BibRef 9501

Chaudhuri, B.B., Sarkar, N., Kundu, P.,
Improved Fractal Geometry Based Texture Segmentation Technique,
VISP(140), 1993, pp. 233-241. Fractal texture descriptions. BibRef 9300

Sarkar, N., Chaudhuri, B.B.,
An Efficient Differential Box-Counting Approach to Compute Fractal Dimension of Image,
SMC(24), 1994, pp. 115-120. BibRef 9400

Sarkar, N.[Nirupam], Chaudhuri, B.B.,
An Efficient Approach to Estimate Fractal Dimension of Textural Images,
PR(25), No. 9, September 1992, pp. 1035-1041.
Elsevier DOI BibRef 9209
Earlier:
An Efficient Approach to Compute Fractal Dimension in Texture Image,
ICPR92(I:358-361).
IEEE DOI BibRef

Dubuisson-Jolly, M.P.[Marie-Pierre], Dubes, R.C.,
Efficacy of Fractal Features in Segmenting Images of Natural Textures,
PRL(15), No. 4, April 1994, pp. 419-431. Fractals. BibRef 9404

Kaplan, L.M., Kuo, C.C.J.,
Texture Segmentation via Haar Fractal Feature Estimation,
JVCIR(6), No. 4, December 1995, pp. 387-400. BibRef 9512

Kaplan, L.M.,
Extended Fractal Analysis for Texture Classification and Segmentation,
IP(8), No. 11, November 1999, pp. 1572-1585.
IEEE DOI 9911
BibRef

Ida, T., Sambonsugi, Y.,
Image Segmentation Using Fractal Coding,
CirSysVideo(5), No. 6, December 1995, pp. 567-570.
IEEE Top Reference. BibRef 9512

Ida, T., Sambonsugi, Y.,
Image Segmentation and Contour Detection Using Fractal Coding,
CirSysVideo(8), No. 8, December 1998, pp. 968.
IEEE Top Reference. BibRef 9812

Porter, R., Canagarajah, N.,
A Robust Automatic Clustering Scheme for Image Segmentation Using Wavelets,
IP(5), No. 4, April 1996, pp. 662-665.
IEEE DOI 9605
BibRef

Lumbreras, F., Serrat, J.,
Wavelet Filtering for the Segmentation of Marble Images,
OptEng(35), No. 10, October 1996, pp. 2864-2872. 9611
BibRef

Ji, C.Y.,
Delineating Agricultural Field Boundaries from TM Imagery Using Dyadic Wavelet Transforms,
PandRS(51), No. 6, December 1996, pp. 268-283. 9701
Edge Detection. BibRef

Feng, W.Y., Yan, Y.B., Huang, G.G., Jin, G.F.,
Micro-Optical Multiwavelet Element for Hybrid Texture Segmentation Processor,
OptEng(37), No. 1, January 1998, pp. 185-188. 9802
BibRef

Mammass, D., Djeziri, S., Nouboud, F.,
A Pretopological Approach for Image Segmentation and Edge Detection,
JMIV(15), No. 3, November 2001, pp. 169-179.
DOI Link 0111
BibRef

Zhang, X.P.[Xiao-Ping], Desai, M.D.,
Segmentation of bright targets using wavelets and adaptive thresholding,
IP(10), No. 7, July 2001, pp. 1020-1030.
IEEE DOI 0108
BibRef

Novianto, S.[Sonny], Suzuki, Y.[Yukinori], Maeda, J.J.[Jun-Ji],
Near optimum estimation of local fractal dimension for image segmentation,
PRL(24), No. 1-3, January 2003, pp. 365-374.
Elsevier DOI 0211
BibRef

Novianto, S., Guimaraes, L., Suzuki, Y., Maeda, J., Anh, V.V.,
Multiwindowed Approach to the Optimum Estimation of the Local Fractal Dimension for Natural Image Segmentation,
ICIP99(III:222-226).
IEEE DOI BibRef 9900

Maeda, J.J.[Jun-Ji], Kawano, A.[Akimitsu], Saga, S.[Sato], Suzuki, Y.[Yukinori],
Number-Driven Perceptual Segmentation of Natural Color Images for Easy Decision of Optimal Result,
ICIP07(II: 265-268).
IEEE DOI 0709
BibRef
And:
Unsupervised Perceptual Segmentation of Natural Color Images Using Fuzzy-Based Hierarchical Algorithm,
SCIA07(462-471).
Springer DOI 0706
BibRef

Maeda, J., Ishikawa, C., Novianto, S., Tadehara, N., Suzuki, Y.,
Rough and Accurate Segmentation of Natural Color Images Using Fuzzy Region-growing Algorithm,
ICPR00(Vol III: 638-641).
IEEE DOI
IEEE DOI 0009
BibRef

Maeda, J., Novianto, S., Saga, S., Suzuki, Y., Anh, V.V.,
Rough and Accurate Segmentation of Natural Images Using Fuzzy Region-Growing Algorithm,
ICIP99(III:227-231).
IEEE DOI BibRef 9900

Maeda, J.J.[Jun-Ji], Novianto, S.[Sonny], Miyashita, A.[Akira], Saga, S.[Sato], Suzuki, Y.[Yukinori],
Fuzzy Region-Growing Segmentation of Natural Images Using Local Fractal Dimension,
ICPR98(Vol II: 991-993).
IEEE DOI 9808
BibRef

Maeda, J.J.[Jun-Ji], Anh, V.V., Ishizaka, T., Suzuki, Y.,
Integration of Local Fractal Dimension and Boundary Edge in Segmenting Natural Images,
ICIP96(I: 845-848).
IEEE DOI BibRef 9600

Xia, Y.[Yong], Feng, D.[Dagan], Zhao, R.C.[Rong-Chun],
Morphology-Based Multifractal Estimation for Texture Segmentation,
IP(15), No. 3, March 2006, pp. 614-623.
IEEE DOI 0604
See also Adaptive Segmentation of Textured Images by Using the Coupled Markov Random Field Model. BibRef

Xia, Y.[Yong], Feng, D.[Dagan], Zhao, R.C.[Rong-Chun], Zhang, Y.N.[Yan-Ning],
Multifractal signature estimation for textured image segmentation,
PRL(31), No. 2, 15 January 2010, pp. 163-169.
Elsevier DOI 1001
Image segmentation; Image texture analysis; Fractal dimension; Multifractal dimensions; Multifractal signature; Mathematical morphology BibRef


Yang, Y., Li, H.T., Han, Y.S., Gu, H.Y.,
High resolution remote sensing image segmentation based on graph theory and fractal net evolution approach,
IWIDF15(197-201).
DOI Link 1508
BibRef

Abadi, M.[Mohamed], Grandchamp, E.[Enguerran],
Texture Features and Segmentation Based on Multifractal Approach,
CIARP06(297-305).
Springer DOI 0611
BibRef

Conci, A.,
Multifractal Characterization of Texture-based Segmentation,
ICIP00(Vol I: 792-795).
IEEE DOI 0008
BibRef

Kam, L.[Lui], Blanc-Talon, J.[Jacques],
Are Multifractal Multipermuted Multinomial Measures Good Enough for Unsupervised Image Segmentation?,
CVPR00(I: 58-63).
IEEE DOI 0005
Maybe BibRef

Kozlov, K., Myasnikova, E., Reinitz, J., Samsonova, M., Kosman, D.,
Fast Redundant Dyadic Wavelet Transform in Application to Spatial Registration of the Expression Patterns of Drosophila Segmentation Genes,
ICPR00(Vol III: 459-462).
IEEE DOI
IEEE DOI 0009
BibRef

Zhang, X.P., and Desai, M.,
Wavelet Based Automatic Thresholding for Image Segmentation,
ICIP97(I: 224-227).
IEEE DOI BibRef 9700

Medioni, G.G., Yasumoto, Y.,
A Note on Using the Fractal Dimension for Segmentation,
CVWS84(25-30). BibRef 8400 USC Computer Vision BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Wavelet Texture Segmentation .


Last update:Oct 15, 2018 at 09:19:25