Abstract
Information retrieval in the form of documents, images is playing a key role in day-to-day life of humans. Real world applications scenario is changing daily, so as the improvement is also becomes a necessary. Various approaches were proposed for retrieval, but all the input images were considered under proper illumination conditions. If the images suffered with illumination angle color and viewing angle changes then it’s very difficult to retrieve similar images. We propose a system which can deal with illumination angle and color variations. Experiments were conducted on ALOI (Amsterdam Library of Object Images) dataset, which is a collection of one thousand objects each with hundred similar images. These images were recorded under changing the illumination angle, color and viewing angle. Experimental results prove that the proposed approach outperforms well in terms of retrieval efficiency \(\dots \)
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Huneiti, A., Daoud, M.: Content based image retrieval using SOM and DWT. J. Soft. Eng. Appl. 8, 51–61 (2015)
Farsi, H., Mohamadzadeh, S.: Color and texture feature-based image retrieval by using Hadamard matrix in discrete wavelet transform. IET Image Process. 7, 212–218 (2013). doi:10.1049/iet-ipr.2012.0203
Mukhopadhyay, S.: Content-based texture image retrieval using fuzzy class membership. J. Pattern Recogn. Lett. 34(6), 646–654 (2013). doi:10.1016/j.patrec.2013.01.001
An, Y., Riaz, M., Park, J.: CBIR based on adaptive segmentation of HSV color space. In: Proceedings of IEEE International Conference on Computer Modelling and Simulation, pp. 248-251. IEEE computer society, ACM pub (2010). doi:10.1016/j.csi.2010.03.004
Wang, X.Y., Yu, Y.J., Yang, H.Y.: An effective image retrieval scheme using color, texture and shape features. J. Comput. Stand. Interfaces 33(1), 59–68 (2011). doi:10.1109/UKSIM.2010.53. Elsevier
Huang, C., Han, Y., Zhang, Y.: A method for object-based color image re-trieval, Fuzzy Systems and Knowledge Discovery (FSKD). In: IEEE 9th International Conference on, IEEE computer society, pp. 1659–1663 (2012)
Fernando, R., Kulkarni, S.: Hybrid technique for color image classification and efficient retrieval based on fuzzy logic and neural networks. In: The 2012 International Joint Conference on Neural Networks, pp. 1–6 (2012)
Moghaddam, H., Nikzad Dehaji, M.: Enhanced Gabor wavelet correlogram feature for image indexing and retrieval. Pattern Anal. Appl. 16(2), 163–177 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Neelima, N., Koteswara rao, P., Sai Praneeth, N., Mamatha, G.N. (2017). An Integrated Framework to Image Retrieval Using L*a*b Color Space and Local Binary Pattern. In: Santosh, K., Hangarge, M., Bevilacqua, V., Negi, A. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2016. Communications in Computer and Information Science, vol 709. Springer, Singapore. https://doi.org/10.1007/978-981-10-4859-3_25
Download citation
DOI: https://doi.org/10.1007/978-981-10-4859-3_25
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-4858-6
Online ISBN: 978-981-10-4859-3
eBook Packages: Computer ScienceComputer Science (R0)