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A New Method for Classification of Structural Textures  

Lee, Bongkyu (Department of Computer ＆ Statistics, Cheju National University)
Publication Information
International Journal of Control, Automation, and Systems / v.2, no.1, 2004 , pp. 125-133 More about this Journal
Abstract
In this paper, we present a new method that combines the characteristics of edge in-formation and second-order neural networks for the classification of structural textures. The edges of a texture are extracted using an edge detection approach. From this edge information, classification features called second-order features are obtained. These features are fed into a second-order neural network for training and subsequent classification. It will be shown that the main disadvantage of using structural methods in texture classifications, namely, the difficulty of the extraction of texels, is overcome by the proposed method.
Keywords
Structural texture; classification; second-order feature space; MLP.;
Citations & Related Records

Times Cited By Web Of Science : 5  (Related Records In Web of Science)
Times Cited By SCOPUS : 0
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1 Unsupervised texture segmentation using Gabor filters /
[ A. K. Jain;F. Farrokhnia ] / Pattern Recognition   DOI   ScienceOn
2 Texture features for browsing and retrieval of image data /
[ B. S. Manjuath;W. Y. Ma ] / IEEE Trans. on PAMI   DOI
3 Rotation invariant texture classification using modified Gabor filters /
[ G. M. Haley;B. S. Manjuath ] / Proc. IEEE ICIP95
4 A theoretical comparison of texture algorithms /
[ R. W. Conners;C. A. Harlow ] / IEEE Trans. on PAMI   DOI
5 Texture classification using noncausal hidden markov models /
[ B. R. Povlow;S. M. Dunn ] / IEEE Trans. on PAMI   DOI
6 Neural network recognition of textured images using third order cumulants as functional links /
[ F. A. DeCosta;M. F. Chouikha ] / Proc. ICASSP '92
7 Texture modeling by multiple pairwise pixel interactions /
[ G. L. Gimel`farb ] / IEEE Trans. on PAMI
8 A neural network architecture for texture segmentation and labeling /
[ N. R. Dupaguntla;V. Vemuri ] / Proc. IJCNN'89
9 A texture classifier based on neural network principles /
[ V. Ari ] / Proc. IJCNN '90
10 Learning texture discrimination masks /
[ A. K. Jain;K. Karu ] / IEEE Trans. on PAMI   DOI
11 On the use of fourier phase features for texture discrimination /
[ J. O. Eklundh ] / Computer Graphics and Image Processing
12 Rotation invariant texture fearures and their use in automatic script identification /
[ T. N. Tan ] / IEEE Trans. on PAMI   DOI
13 Texture image classification and segmentation using rank order clustering /
[ D. Patel;T. J. Stonham ] / Proc. of International Conference on Pattern Recognition, 92
14 A comparison of wavelet features for texture annotation /
[ W. Y Ma;B. S. Manjuath ] / Proc. IEEE Int'l Conf Image Processing '95
15 Edge based segmentation and texture separation /
[ S. Grinaker ] / Proc. of International Conference on Pattern Recognition, 80
16 Unsupervised segmentation of textured images by edge detection in multidimensional features /
[ A. Khotanzad;J. Y Chen ] / IEEE Trans. on PAMI   DOI
17 Image segmentation by texture using pyramid node linking /
[ M. Pietikainen;A. Rosenfeld ] / IEEE Trans. on System, Man and Cybernetics   DOI
18 Coarse-coded higher-order neural networks for PSRI object recognition /
[ L. Spirkovska;M. B. Reid ] / IEEE TRans. on Neural Networks   DOI   ScienceOn
19 Texture analysis and classification with tree structured wavelet transform /
[ T. Chang;C.-C. J. Kuo ] / IEEE Trans. on Image Processing   DOI   ScienceOn
20 Learning, invariance and generalization in high-order neural networks /
[ C. L. Giles;T. Maxwell ] / Applied Optics
21 Pattern recognition properties of various feature spaces for higher order neural networks /
[ W. A. C. Schmidt;J. P. Davis ] / IEEE Trans. on PAMI   DOI
22 Rotation and scale invariant pattern recognition using complex log mapping and augmented second-order neural network /
[ H. Y. Kwon;B. C. Kim;H. Y. Hwang ] / IEE Electronics Letters
23 A Unified texture model based on a 2-D Wold like decomposition /
[ J. M. Francos;A. Z. Meiri;B. Porat ] / IEEE Trans. on Signal Processing
24 Maximum likelihood parameter estimation of textures using a Wold decomposition based model /
[ J. M. Francos;A. Narasimhan;J.W. Woods ] / IEEE Trans. on Image Processing
25 Segmentation by texture using a co-occurrence matrix /
[ P. C. Chen;T. Pavlidis ] / Computer, Graphics and Image Processing
26 Towards a texture naming system: identifying relevant dimensions of texture /
[ A. R. Rao;G. L. Lohse ] / Proc. IEEE Conf. Visualization
27 Translation, scale and rotation invariant pattern recognition using PCA and reduced second-order neural network /
[ B. Lee;S. Cho;Y Cho ] / Int. Journal of Neural, Parallel and Scientific Computation
28 Image processing of human corneal endothe lium gase a learning network /
[ W. Zhang;A. Hasegawa;K. Itoh;Y. Ichioka ] / Applied Optics   DOI
29 Statistical gemetrical features for texture classification /
[ Y. Q. Chen;M. S. Nixon;D. W. Thomas ] / Pattern Recognition
30 /
[ A. K. Jain ] / Fudamentals of Digital Image Processing
31 Statistical and structural approaches to texture /
[ R. M. Haralick ] / Proc. of IEEE
32 Multiresoultion feature extraction and selection for texture segmentation /
[ M. Unser;M. Eden ] / IEEE Trans. on PAMI   DOI
33 Texture analysis using generalized cooccurrence matrices /
[ L. S. Davis;S. A. Johns;J. K. Aggarwal ] / IEEE Trans. on PAMI   DOI
34 Decorrelation methods of texture feature extraction /
[ O. D. Faugeras;W. K. Pratt ] / IEEE Trans. on PAMI   DOI
35 Periodictity, direction-ality and randomness: wold features for image modeling and retrieval /
[ F. Liu;R. W. Picard ] / IEEE Trans. on PAMI   DOI
36 Texture Classification and segmentation using multiresolution simultaneous autoregressive models /
[ J. Mao;A. K. Jain ] / Pattern Recognition   DOI   ScienceOn
37 Texture features corresponding to visual perception /
[ H. Tamura;S. Mori;T. Yamawaki ] / IEEE Trans. on System, Man and Cybernetics   DOI   ScienceOn
38 /
[ P. Brodatz ] / Textures
39 A review of recent texture segmentation and feature extraction techniques /
[ T. R. Reed;J. M. Hans Du Buf ] / CVGIP: image understanding   DOI   ScienceOn
40 A combined neural network approach for texture classification /
[ P. P. Raghu;R. Poongodi;B. Yegnanarayana ] / Neural Networks   DOI   ScienceOn
41 Markov random field texture models /
[ G. R. Gross;A. K. Jain ] / IEEE Trans. on PAMI   DOI
42 Texture synthesis and compression using Gaussian-Markov random field models /
[ R. Chellapa;S. Chatterjee;R. Bagdazian ] / IEEE Trans. on System, Man and Cybernetics   DOI
43 Analysis of multichannel narrowband filters for image texture segmentation /
[ A. C. Bovik ] / IEEE Trans. on Signal Processing   DOI   ScienceOn
44 Sum and difference histograms for texture classification /
[ M. Unser ] / IEEE Trans. on PAMI   DOI
45 Multichannel texture analysis using localized spatial filters /
[ A. C. Bovik;M. Clark;W. S. Geisler ] / IEEE Trans. on PAMI   DOI