Abstract
This paper presents retrieval of monument images using low-level descriptors built on color, texture, and shape retrievals using CBIR technology with the help of MATLAB tool. Representation of shape is very complex because of this shape gains special importance among all these features. Morphological operators are used for the extraction of shape-based descriptors, improved local binary pattern (ILBP) is used for the extraction of texture-based descriptors, and RGB color histogram is used for extracting color-based descriptors. Morphological gradients are obtained using morphological operators, and then moment invariant is applied on these gradients. ILBP is used because it discovers the group of elementary primitives like lines, cross-intersections, and T-junctions that are unnoticed by uniform LBP method. ILBP feature used here is more precise than traditional LBP descriptor. Stout set is built to find and retrieve the images of similar kind. Tests are performed on the database having 360 images with six categories. Results show that the proposed system is capable of retrieving alike images more accurately.
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References
Ruchi Jayaswal and Jaimala Jha, “A hybrid approach for image retrieval using visual descriptor,” in ICCCA 2017 unpublished.
Ravi Devesh, Jaimala Jha and Ruchi Jayaswal, “Retrieval of Monuments Images Through ACO Optimization Approach,” International Research Journal of Engineering and Technology (IRJET), Vol. 4, Issue 7, pp. 279–285, 2017.
Ruchi Jayaswal, Jiamala Jha and Ravi Devesh, “An Efficient Method of Image Mining using k-Medoid Clustering Technique,” International Journal of Computer Science and Engineering (IJCSE), Vol. 5, Issue 3, pp. 206–214, 2017.
Manish K. Shriwas and V. R. Raut, “Content Based Image Retrieval: A Past, Present and New Feature Descriptor,” in International Conference on Circuit, Power and Computing Technologies [ICCPCT], 2015.
Padmashree Desai, Jagadeesh Pujari, N.H. Ayachit and V. Kamakshi Prasad, “Classification of Archaeological Monuments for Different Art forms with an Application to CBIR,” in International Conference on Advances in Computing, Communications and Informatics (ICACCI), ISBN: 978-1-4673-6217-7/13/ 2013.
Shilpa Yaligar, Sanjeev Sannakki and Nagaratna Yaligar, “Identification and Retrieval of Archaeological Monuments Using Visual Features,” in Proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications (ERCICA) 2013.
Fuxiang Lu, Jun Huang, “An Improved Local Binary Pattern operator for texture classification,” ICASSP 2016 pp. 1308-1311, ISBN: 978-1-4799-9988-0/16.
Malay S. Bhatt and Tejas P. Patalia, “Genetic Programming Evolved Spatial Descriptor for Indian Monuments Classification,” in IEEE International Conference on Computer Graphics, Vision and Information Security (CGVIS) 2015 pp. 131–136.
C. Singh and K. Preet Kaur, “A fast and efficient image retrieval system based on color and texture features,” J. Vis. Commun. (2016), https://doi.org/10.1016/j.jvcir.2016.10.002.
Jaimala Jha and Dr. Sarita Sign Bhaduaria “Review of Various Shape Measures for Image Content Based Retrieval,” International Journal of Computer & Communication Engineering Research Nov. 2015.
T. Ojala, M. Pietikainen and D. Harwood, “A comparative study of texture measures with classification based on featured distributions,” Pattern Recognition, Vol. 42, pp. 425–436, 2009.
Leila Kabbai, Mehrez Abdellaoui and Ali Douik, “Content Based Image Retrieval Using Local and Global Features Descriptor,” in 2nd International Conference on Advances Technologies for Signal and Image Processing –ATSIP’2016, March 21–24, 2016, Monastir, Tunisia, pp. 151-154, 2016.
Kanwal Preet Kaur, “On Comparative Performance Analysis of Color, Edge and Texture Based Histogram for Content Based Color Image Retrieval,” ISBN: 978-1-4799-6896-1/14, 2014.
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Devesh, R., Jha, J. (2019). An Efficient Approach for Monuments Image Retrieval Using Multi-visual Descriptors. In: Nath, V., Mandal, J. (eds) Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017). Lecture Notes in Electrical Engineering, vol 476. Springer, Singapore. https://doi.org/10.1007/978-981-10-8234-4_25
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DOI: https://doi.org/10.1007/978-981-10-8234-4_25
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