Wavelet oscillator neural networks for texture segmentation

Neural Network World

Volumn 18, Issue 4, 2008, Pages 275-289

  Sengur, Abdulkadir ^a   Turkoglu, Ibrahim ^a   Ince, M Cevdet ^a  

^a FIRAT UNIVERSITY   (Turkey)

Author keywords

Feature extraction; Texture segmentation; Wavelet decomposition; Wavelet oscillator neural networks

Indexed keywords

COMPUTER VISION; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGE SEGMENTATION; NETWORK PROTOCOLS; PATTERN RECOGNITION; REMOTE SENSING; SENSOR NETWORKS; SPACE OPTICS; STATISTICAL METHODS; TEXTURES; VEGETATION; WAVELET DECOMPOSITION; WAVELET TRANSFORMS;

APPLICATIONS.; BIOMEDICAL IMAGE PROCESSING; INDUSTRIAL AUTOMATIONS; MACHINE-VISION; MOSAIC IMAGES; NEURAL-NETWORK; STATISTICAL PATTERNS; TEXTURE ANALYSES; TEXTURE PRIMITIVES; TEXTURE SEGMENTATION; TEXTURE SEGMENTATIONS; WAVELET OSCILLATOR NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 54849426745     PISSN: 12100552     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. Chang T., C.-C. J. Kuo: Texture analysis and classification with tree-structured wavelet transform, IEEE Trans. On Image Processing, 2, 4, 1993, pp. 429-441.
2. Arivazhagan S., Ganesan L.: Texture segmentation using wavelet transform, Patt. Rec. Let., 24, December 2003, pp. 3197-3203.
3. Sengur A., Turkoglu I., Ince M. C.: Wavelet Packet Neural Networks For Texture Classification, 32, 2, 2007, pp. 527-533.
4. Sengur A.: Wavelet transform and adaptive neuro-fuzzy inference system for color texture classification, Expert Systems with Applications, 34, 3, 2008, pp. 2120-2128.
5. Cesmeli E., Wang D.: Texture segmentation using Gaussian-Markov random fields and neural oscillator Networks, Neural Networks, IEEE Transactions on 12, 2, 2001, pp. 394-404.
6. Haralick R. M., Shanmugam K. K., Dinstein I.: Texture features for image classification. IEEE Trans. Syst. Man Cyb. 8, 6, 1973, pp. 610-621.
7. Cross G. R., Jain A. K.: Markov random field texture models. IEEE Trans. Pattern Anal., PAMI-5, 1, 1983, pp. 25-39.
8. Chellappa R., Chatterjee S.: Classification of textures using Gaussian Markov random fields. IEEE Trans. Acoust., Speech, Signal Process. ASSP-33, 4, 1986, pp. 959-963.
9. Unser M., Eden M.: Multiresolution feature extraction and selection for texture segmentation. IEEE Trans. Pattern Anal., 2, 1989, pp. 717-728.
10. Manjunath B. S., Ma W. Y.: Texture features for browsing and retrieval of image data. IEEE Trans. Pattern Anal., 18, 8, 1996, pp. 837-842.
11. Lu Chun S., Chung Pau C., Chen Chih F.: Unsupervised texture segmentation via wavelet transform. Pattern Recognition, 30, May 1997, pp. 729-742.
12. Busch C.: Wavelet based texture segmentation of multi-modal topographic images. Computers & Graphics, 21, May-June 1997, pp. 347-358.
13. Mausumi Acharyya, Malay K. Kundu: An adaptive approach to unsupervised texture segmentation using M-Band wavelet transform., Signal Processing, 81, July 2001, pp. 1337-1356.
14. Wang Xiaodan, Jin Hua, Zhao Rongchun: Texture segmentation method based on incomplete tree structured wavelet transform and fuzzy Kohonen clustering network, Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress, 4, June 2000, pp. 2684-2687.
15. DeLiang Wang, Terman D.: Locally excitatory globally inhibitory oscillator Networks Neural Networks, IEEE Transactions on 6, 1, Jan. 1995, pp. 283-286.
16. Daubechies I.: Orthogonal bases of compactly supported wavelets. Comm. Pure. Appl. Math., 41, 1988, pp. 909-996.
17. DeLiang Wang, Terman D.: Image segmentation based on oscillatory correlation, Neural computaion, 9, 1997, pp. 805-836.
18. Cohen A., Daubechies I., Feauveau J. C.: Biorthogonal bases of compactly supported wavelets, Commun. Pure Appl. Math., 45, 1992, pp. 485-560.