International Journal of Intelligent Systems and Applications(IJISA)

ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)

Published By: MECS Press

IJISA Vol.10, No.5, May. 2018

Application of Bat Algorithm for Texture Image Classification

Full Text (PDF, 628KB), PP.42-50

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Zhiwei Ye, Xiangfeng Hou, Xu Zhang, Juan Yang

Index Terms

Image classification;Texture analysis;Tuned mask;Feature extraction;Bat algorithm


Textural feature extraction of image is a basic work for image analysis. A number of approaches have been put forward to describe texture features quantitatively, such as gray level co-occurrence matrix, fractal wavelet, Gabor wavelet and local binary pattern etc, among them texture feature extracted based on “tuned” mask will not suffer from rotation and scale of images. However, it needs to take a lot of time to learn the tuned mask with the traditional methods and could not acquire the satisfying mask sometimes. In essence, it is a very hard combinational optimization problem and easy to fall into the local optimum with mountain climbing method. Bat algorithm is a newly proposed meta-heuristic optimization, which is employed to tune the optimal mask in the paper. The procedure of bat algorithm to learn the tuned mask is detailed. Experiments results testifies that the proposed method is propitious to draw texture features, its performance is better than the simple particle swarm optimization and genetic algorithm based mask tuning scheme, which is a robust approach for texture image analysis.

Cite This Paper

Zhiwei Ye, Xiangfeng Hou, Xu Zhang, Juan Yang, "Application of Bat Algorithm for Texture Image Classification", International Journal of Intelligent Systems and Applications(IJISA), Vol.10, No.5, pp.42-50, 2018. DOI: 10.5815/ijisa.2018.05.05


[1]Vidyarthi A, Mittal N. Texture based feature extraction method for classification of brain tumor MRI [J]. Journal of Intelligent & Fuzzy Systems, 2017:1-12.

[2]Varma M, Zisserman A. A Statistical Approach to Texture Classification from Single Images [M]. Kluwer Academic Publishers, 2005.

[3]Zuñiga A G, Florindo J B, Bruno O M. Gabor wavelets combined with volumetric fractal dimension applied to texture analysis [J]. Pattern Recognition Letters,2014, 36(1):135-143.

[4]Khan F S, Rao M A, Weijer J V D, et al. Compact color–texture description for texture classification [J]. Pattern Recognition Letters, 2015, 51:16-22.

[5]João B. Florindo, Odemir M. Bruno. Texture analysis by multi-resolution fractal descritors. Expert Systems with Applications. 2013, 40, pp. 4022-4028.

[6]Pan Z, Li Z, Fan H, et al. Feature Based Local Binary Pattern for Rotation Invariant Texture Classification [J]. Expert Systems with Applications, 2017, 88.

[7]T. Ojala, M. Pietikäinen, and D. Harwood.Performance evaluation of texture measures with classification based on Kullback discrimination of distributions”, Proceedings of the 12th IAPR International Conference on Pattern Recognition (ICPR 1994), vol. 1, 582 - 585.

[8]J. You and H. Cohen. Classification and segmentation of rotated and scaled textured images using texture “tuned” masks.  Pattern Recognition, 1993, vol.26, pp.245-258.

[9]Zheng Hong and Zheng Zhaobao, “Robust Texture Feature Extraction Using Two Dimension Genetic Algorithms”, Signal Processing Proceedings, 2000.  21 Aug 2000-25 Aug 2000, Beijing, IEEE press, pp.1580-1584. 

[10]Ye Z, Zheng Z, Zhang J, et al. Application of particle swarm optimization algorithm to image texture classification[J]. Proceedings of SPIE - The International Society for Optical Engineering, 2007, 6789(3):177-181.

[11]Zheng H, Zhang J, Nahavandi S. Learning to detect texture objects by artificial immune approaches. Future Generation Computer Systems, 2004, 20(7): 1197-1208.

[12]Wan Y, Wang M, Ye Z, et al. A “Tuned” Mask Learnt Approach Based on Gravitational Search Algorithm:[J]. Computational Intelligence and Neuroscience,2016,(2016-12-19), 2016, 2016(3):1-16.

[13]Yang, Xin-She. Bat algorithm for multi-objective optimization. International Journal of Bio-Inspired Computation, 2011, 3(5): 267-274.

[14]Bora T C, Coelho L D S, Lebensztajn L. Bat-Inspired Optimization Approach for the Brushless DC Wheel Motor Problem[J]. IEEE Transactions on Magnetics, 2012, 48(2):947-950.

[15]Yang X. Bat algorithm for multi-objective optimisation[J]. International Journal of Bio-Inspired Computation, 2011, 3(5):267-274 .

[16]Taha A M, Mustapha A, Chen S D. Naive Bayes-guided bat algorithm for feature selection.[J]. The Scientific World Journal,2013,(2013-12-14), 2013, 2013(3):325973.

[17]Adarsh B R, Raghunathan T, Jayabarathi T, et al. Economic dispatch using chaotic bat algorithm[J]. Energy, 2016, 96:666-675.

[18]Zheng F, Zecchin A, Newman J, et al. An Adaptive Convergence-Trajectory Controlled Ant Colony Optimization Algorithm with Application to Water Distribution System Design Problems[J]. IEEE Transactions on Evolutionary Computation, 2017, PP(99):1-1.

[19]Pan W T. A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example[J]. Knowledge-Based Systems, 2012, 26(2):69-74.

[20]Lin S W, Ying K C, Chen S C, et al. Particle swarm optimization for parameter determination and feature selection of support vector machines[J]. Expert Systems with Applications, 2008, 35(4):1817-1824.

[21]Maysam Toghraee, Hamid Parvin, Farhad Rad,"The Impact of Feature Selection on Meta-Heuristic Algorithms to Data Mining Methods", International Journal of Modern Education and Computer Science(IJMECS), Vol.8, No.10, pp.33-39, 2016.DOI: 10.5815/ijmecs.2016.10.05

[22]Tamirat Tagesse Takore, P. Rajesh Kumar, G. Lavanya Devi,"Robust Image Watermarking Scheme Using Population-Based Stochastic Optimization Technique", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.9, No.7, pp.55-65, 2017.DOI: 10.5815/ijigsp.2017.07.06

[23]Dolly Choudhary,Ajay Kumar Singh,Shamik Tiwari,V P Shukla,"Performance Analysis of Texture Image Classification Using Wavelet Feature", IJIGSP, vol.5, no.1, pp.58-63, 2013.DOI: 10.5815/ijigsp.2013.01.08

[24]Kapil Sharma, Sanchi Girotra, "Parallel Bat Algorithm Using MapReduce Model", International Journal of Information Technology and Computer Science(IJITCS), Vol.9, No.11, pp.72-78, 2017. DOI: 10.5815/ijitcs.2017.11.08

[25]Rabiu O. Isah, Aliyu D. Usman, A. M. S. Tekanyi,"Medical Image Segmentation through Bat-Active Contour Algorithm", International Journal of Intelligent Systems and Applications(IJISA), Vol.9, No.1, pp.30-36, 2017. DOI: 10.5815/ijisa.2017.01.03