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2016 | OriginalPaper | Buchkapitel

A Short Run Length Descriptor for Image Retrieval

verfasst von : Nishant Shrivastava, Vipin Tyagi

Erschienen in: Information Systems Design and Intelligent Applications

Verlag: Springer India

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Abstract

In this paper an image retrieval technique based on a novel Short Run Length Descriptor (SRLD) is proposed. SRLD can effectively represent image local and global information. It can be viewed as an integrated representation of both color and texture properties. HSV color space is quantized to 72 bins and SRLD is computed using short run lengths of size two and three for each color in different orientations. Short run lengths at all orientations are combined to get Short Run Length Histogram (SRLH) feature. SRLH can thoroughly describe the spatial correlation between color and texture and have the advantages of both statistical and structural approaches of texture representation. The experimental results clearly demonstrate the effectiveness of the proposed descriptor in image retrieval applications.

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F. Mahmoudi, J. Shanbehzadeh, Image retrieval based on shape similarity by edge orientation autocorrelogram, Pattern Recognition, 36 (8) (2003) 1725–1736.

N. Shrivastava, V. Tyagi, Content based image retrieval based on relative locations of multiple regions of interest using selective regions matching, Inform. Sci. Volume 259, (2014), 212–224.

C.H. Lin et al., A smart content-based image retrieval system based on color and texture feature, Image and Vision Computing, 27 (2009), 658–665.

N. Shrivastava, V. Tyagi, Multistage content- based image retrieval, CSI sixth international conference on software engineering (CONSEG) IEEE, (2012), 1–4.

Shrivastava N, Tyagi V (2013): An effective scheme for image texture classification based on binary local structure pattern, Visual Computer, Springer Berlin Verlag, pp. 1–10. doi:10.1007/s00371-013-0887-0.

Shrivastava N, Tyagi V (2015): An integrated approach for image retrieval using local binary pattern, Multimedia Tools and Applications, Springer. doi:10.1007/s11042-015-2589-2.

G.H. Liu, L. Zhang, Y.K. Hou, Z.Y. Li, J.Y. Yang, Image retrieval based on multitexton histogram, Pattern Recognition 43 (7) (2010) 2380–2389.

G.H. Liu, Z.Y. Li, L. Zhang, Y. Xu, Image retrieval based on micro-structure descriptor, Pattern Recognition 44 (9) (2011) 2123–2133.

W. Xingyuan, W. Zongyu, A novel method for image retrieval based on structure elements descriptor, Journal of Visual Communication and Image Representation, 24 (2013) 63–74.

10.

G.H. Liu, J.Y. Yang, Image retrieval based on the texton co-occurrence matrix, Pattern Recognition 41 (12) (2008) 3521–3527.

11.

G. Michèle, Z. Bertrand, Body color sets: a compact and reliable representation of images, Journal of Visual Communication and Image Representation, 22 (1) (2011) 48–60.

12.

C.H. Lin, D.C. Huang, Y.K. Chan, K.H. Chen, Y.J. Chang, Fast color-spatial feature based image retrieval methods, Expert Systems with Applications, 38 (9) (2011) 11412–11420.

13.

W.T. Chen, W.C. Liu, M.S. Chen, Adaptive color feature extraction base on image color distributions, IEEE Transactions on Image Processing 19 (8) (2010) 2005–2016.

14.

Swain, M.J. and Ballard, D.H.: Color Indexing, Int. J. Computer Vision, 7(1) (1991) 11–32.

15.

J.L. Liu, D.G. Kong, Image retrieval based on weighted blocks and color feature, International Conference on Mechatronic Science, Electric Engineering and Computer, Jilin, 2011, pp. 921–924.

16.

Wong, K.-M., Cheung, K.-W., Po, L.-M.: MIRROR: an interactive content based image retrieval system. In: Proceedings of IEEE International Symposium on Circuit and Systems 2005, Japan, vol. 2, pp. 1541–1544 (2005).

17.

Coral image database: http://wang.ist.psu.edu/docs/related/.

Titel: A Short Run Length Descriptor for Image Retrieval
verfasst von: Nishant Shrivastava
Vipin Tyagi
Verlag: Springer India
Buch: Information Systems Design and Intelligent Applications
Print ISBN: 978-81-322-2750-2

Electronic ISBN: 978-81-322-2752-6

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-81-322-2752-6_1

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