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Hybrid Feature based Natural Scene Classification using Neural Network

by Deepika Gupta, Ajay Kumar Singh, Deepa Kumari, Raina
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 16
Year of Publication: 2012
Authors: Deepika Gupta, Ajay Kumar Singh, Deepa Kumari, Raina
10.5120/5629-7977

Deepika Gupta, Ajay Kumar Singh, Deepa Kumari, Raina . Hybrid Feature based Natural Scene Classification using Neural Network. International Journal of Computer Applications. 41, 16 ( March 2012), 48-52. DOI=10.5120/5629-7977

@article{ 10.5120/5629-7977,
author = { Deepika Gupta, Ajay Kumar Singh, Deepa Kumari, Raina },
title = { Hybrid Feature based Natural Scene Classification using Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 16 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 48-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number16/5629-7977/ },
doi = { 10.5120/5629-7977 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:29:48.097754+05:30
%A Deepika Gupta
%A Ajay Kumar Singh
%A Deepa Kumari
%A Raina
%T Hybrid Feature based Natural Scene Classification using Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 16
%P 48-52
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a classification for natural images is proposed using hybrid features. The objective of this paper is to develop an image content based classifier, which can perform identity check of a natural image. Here we have extracted wavelet and color features from a captured natural image to classify out of three groups. The developed technique is able to classify translation and rotation invariant matching among natural images using feed forward back propagation neural network. The database contains several hundreds of natural images of three groups namely coast, Forest, Mountain for classification and found good classification rate.

References
  1. Ajay Kumar Singh, Shamik Tiwari, and V P Shukla, "Wavelet based multiclass Image classification using neural network", International Journal of Computer Applications 37(4):21-25, January 2012.
  2. Shamik Tiwari, Ajay Kumar Singh and V P Shukla, "Statistical Moments based Noise Classification using Feed Forward Back Propagation Neural Network", International Journal of Computer Applications 18(2):36-40, March 2011.
  3. Anna Bosch, Xavier Munoz, Robert Mart?. " A review: Which is the best way to rganize/classify images by content?"In Science Direct, Image and Vision Computing. 12 july 2006.
  4. . Thyagarajan, K. S. Nguyen, T. Persons, C. E. Dept. of Electr. & Comput. Eng. , San Diego State Univ. , CA," A maximum likelihood approach to texture classification using wavelet transform ", Image Processing, 1994. Proceedings. ICIP-94. , IEEE International .
  5. Abdulkadir sengur, "color texture classification using wavelet Transform and neural network ensembles"the arabian journal for science and engineering, volume 34, number 2b, february 9, 2009.
  6. J. Sklansky, "Image Segmentation and Feature Extraction", IEEE Trans. System Man Cybernat. , 8(1978), pp. 237–247.
  7. G. Van de Wouwer, P. Scheunders, S. Livens, and D. Van Dyck, "Wavelet Correlation Signatures for Color Texture Characterization", Pattern Recognition, 32(3)(1999), pp. 443–451.
  8. A. Sengur, I. Turkoglu, and M. C. Ince, "Wavelet Packet Neural Networks for Texture Classification", Expert Systems With Applications, 32(2)(2007), pp. 527–533.
  9. A. Sengur, "Wavelet Transform and Adaptive Neuro-Fuzzy Inference System for Color Texture Classification", Expert Systems With Applications, 34(3)(2008), pp. 2120–2128
  10. I. Daubechies, "Orthogonal Bases of Compactly Supported Wavelets", Comm. Pure. Appl. Math, 41(1988), pp. 909–996.
  11. Mojsilovic A. , Popovic M. V. and D. M. Rackov, "On the selection of an optimal wavelet basis for texture characterization", IEEE Transactions on Image Processing, vol. 9, pp. 2043–2050, December 2000.
  12. M. Unser, "Texture classification and segmentation using wavelets frames", IEEE Transactions on Image Processing, vol. 4, pp. 1549–1560, November 1995.
  13. Rohit Arora et al. "An Algorithm for Image Compression Using 2D Wavelet Transform" International Journal of Engineering Science and Technology (IJEST), Vol. 3 No. 4 Apr 2011.
  14. M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele, and P. Yanker, "Query by image and video content: The QBIC system. " IEEE Computer, Vol. 28, No. 9, pp. 23-32, 1995.
  15. Stephane Mallat, A Wavelet Tour of Signal Processing. Academic Press, pp. 398-405, 1999.
  16. G. Pass,R. Zabih, and J. Miller. Comparing images using colr coherence vectors. InProceeding of 4th ACM International Confrence on multimedia,pages65-73, Bostan, Massachusetts, November 1996.
  17. B. Johansson , "A Survey on: Contents Based Search in Image Databases", 2000.
  18. R. Duda,R. Hart, and D. Stark. Pattern Classification. John Wiley and sons. Inc,New York,2 edition,2000
  19. Henry A. Rowley, Shumeet Baluja, and Takeo Kanade," Neural Network-Based Face Detection" PAMI, January 1998.
  20. A. k Jain,R. P. W. Duin and ,J. Mao. Stastistical Pattern Reconnition:A Review. IEEE Transaction on Pattern Analysis and Machine Intelligence,22(1)34-37,January 2000.
  21. . Parekh, R. Yang, J. Honavar, V. ," Constructive neural-network learning algorithms for pattern classification" , IEEE Transactions on Neural Network, Mar 2000,Vol. 11 ,No. 2,page(s): 436 – 451.
  22. J. Luo and A. Savakls. Indooe vs outdoor classification of consumer photograph using low level sementic feature. In IEEE International Confrences on Image Processing Thesanolnki,Grece,October 2001.
  23. Aude Oliva, Antonio Torralba," Modeling the shape of the scene: a holistic representation of the spatial envelope", International Journal of Computer Vision, Vol. 42(3): 145-175, 2001.
Index Terms

Computer Science
Information Sciences

Keywords

Neural Network Statistical Moment Color Histogram Hybrid Feature

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