An expert system based on Discrete Wavelet Transform ANFIS for acquisition and recognition of invariant features from texture images

Date

2015-05-06

Author

Avcı, Derya
POYRAZ, MUSTAFA
Leblebicioğlu, Mehmet Kemal

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Texture is low-level image features. Today, texture analysis is applied to different fields such as ultrasound images recognition, document classification, classification of radar imagery, texture-based image retrieval. Texture analysis and classification is an important issue. Comparison of texture analysis and classification was characterized by the lack of adequate methods. Wavelet decomposition method is superior to other conventional methods. In this study, Discrete Wavelet Transform (DWT) Adaptive Network Based Fuzzy Inference System (ANFIS) were used for acqusition and recognition invariant properties of tissue-type image. 22 texture images were taken from Brodatz database for the analysis of tissue-type image. 50 randomly 64 x 64 regions are selected from each of 22 images. Testing Succes with the average rate of 91.27% was obtained by using DWT-ANFIS method.

Subject Keywords

Expert systems, Texture images, Discrete wavelet transform, Entropy, Adaptive network-based fuzzy inference system

URI

https://hdl.handle.net/11511/39791

DOI

https://doi.org/10.1109/siu.2015.7130018

Conference Name

23nd Signal Processing and Communications Applications Conference (SIU)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

D. Avcı, M. POYRAZ, and M. K. Leblebicioğlu, “An expert system based on Discrete Wavelet Transform ANFIS for acquisition and recognition of invariant features from texture images,” presented at the 23nd Signal Processing and Communications Applications Conference (SIU), Inonu Univ, Malatya, TURKEY, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/39791.