Classification and Retrieval of Images Based on Extensive Context and Content Feature Set

Thiriveedhi    Yellamanda Srinivasa   Rao; Pakanati   Chenna    Reddy

Abstract

Background: This paper renders a classification and retrieval of image achievements in the search area of image retrieval, especially content-based image retrieval, an area that has been very active and successful in the past few years.

Objective: Primarily the features extracted established on the bag of visual words (BOW) can be arranged by utilizing Scaling Invariant Feature Transform (SIFT) and developed K-Means clustering method.

Methods: The texture is extracted for a developed multi-texton method by our study. Our retrieval process consists of two stages such as retrieval and classification. The images will be classified established on the features by applying k- Nearest Neighbor (kNN) algorithm. This will separate the images into various classes in order to develop the precision and recall rate initially.

Results: After the classification of images, the similar images are retrieved from the relevant class as per the afforded query image.

Keywords: Invariant feature transform, k-means clustering, multi texton, k-nearest neighbor, precision, recall, retrieval.

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Graphical Abstract

[1] 
P. Hong, Q. Tian,  and T.S. Huang, "Incorporate support vector machines to content-based image retrieval with relevant feedback", In the proceedings of IEEE International Conference on Image Processing Vancouver, Canada 2000, pp. 750-753.
[2] 
S.F. da Silva, M.X. Ribeiro, J.E.S.B. Neto, C. Traina-Jr,  and A.J.M. Traina, "Improving the ranking quality of medical image retrieval using a genetic feature selection method", Elsevier J. Dec. Supp. Syst., vol. 51, pp. 810-820, 2011.
[3] 
P.S. Hiremath,  and J. Pujari, "Content-based image retrieval based on color, texture and shape features using image and its complement", Int. J. Comput. Sci. Secur., vol. 1, pp. 25-35, 2007.
[4] 
V.S.V.S. Murthy, E. Vamsidhar, J.N.V.R.S. Kumar,  and P.S. Rao, "Content-based image retrieval using hierarchical and K-means clustering techniques", Int. J. Eng. Sci. Technol., vol. 2, pp. 209-212, 2010.
[5] 
J. Zhang,  and L. Ye, "Series feature aggregation for content-based image retrieval", Elsevier J. Comput. Electr. Eng., vol. 36, pp. 691-701, 2010.
[6] 
C.S. Rao, S.S. Kumar,  and B.C. Mohan, "Content-based image retrieval using exact legendre moments and support vector machine", Int. J. Multimed. Appl., vol. 2, pp. 69-79, 2010.
[7] 
F. Shi, J. Wang,  and Z. Wang, "Region-based supervised annotation for semantic image retrieval", Int. J. Electr. Commun., vol. 65, pp. 929-936, 2011.
[8] 
M.M. Rahman, S.K. Antani,  and G.R. Thomas, "A learning-based similarity fusion and filtering approach for biomedical image retrieval using SVM classification and relevance feedback", IEEE Trans. Inf. Technol. Biomed., vol. 15, pp. 640-646, 2011.
[9] 
G. Quellec, M. Lamard, G. Cazuguel, B. Cochener,  and C. Roux, "Wavelet optimization for content-based image retrieval in medical databases", Elsevier J. Med. Image Anal., vol. 14, pp. 227-241, 2010.
[10] 
S. Vrochidis, S. Papadopoulos, A. Moumtzidou, P. Sidiropoulos, E. Pianta,  and I. Kompatsiaris, "Towards content-based patent image retrieval: A framework perspective", Elsevier J. World Pat. Inf., vol. 32, pp. 94-106, 2010.
[11] 
D.D. Burdescu, C.G. Mihai, L. Stanescu,  and M. Brezovan, "Automatic image annotation and semantic based image retrieval for medical domain", Elsevier J. Neurocomput., vol. 109, pp. 33-48, 2012.
[12] 
J.E.E. de Oliveira, A.M.C. Machado, G.C. Chavez, A.P.B. Lopes, T.M. Deserno,  and A.A. Araujo, "MammoSys: A content-based image retrieval system using breast density patterns", Elsevier J. Comput. Method Program Biomed., vol. 99, pp. 289-297, 2010.
[13] 
S.R. Bul, M. Rabbi,  and M. Pelillo, "Content-based image retrieval with relevance feedback using random walks", Elsevier J. Pattern Recogn., vol. 44, pp. 2109-2122, 2011.
[14] 
T. Mehyar,  and J.O. Atoum, "An enhancement on content-based image retrieval using color and texture features", J. Emerg. Trend. Comput. Inf. Sci., vol. 3, pp. 488-496, 2012.
[15] 
A. Folkers,  and H. Samet, "Content-based image retrieval using fourier descriptors on a logo database", Proceedings of the 16th International Conference on Pattern Recognition Washington, DC, USA 2002, pp. 521-524.
[16] 
D. You, S. Antani, D. Demner-Fushman, M.M. Rahman, V. Govindaraju,  and G.R. Thoma, Biomedical article retrieval using multimodal features and image annotations in region-based CBIR In Proceedings Document Recognition Retrieval, Vol. 7534, pp. 1- 12, 2010.
[17] 
K. Yuan, Z. Tian, J. Zou, Y. Bai,  and Q. You, "Brain CT image database building for computer-aided diagnosis using content-based image retrieval", Elsevier J. Inform. Process. Manage., vol. 47, pp. 176-185, 2011.
[18] 
K. Iqbal, M.O. Odetayo,  and A. James, "Content-based image retrieval approach for biometric security using colour, texture and shape features controlled by fuzzy heuristics", Elsevier J. Comput. Syst. Sci., vol. 78, pp. 1258-1277, 2012.
[19] 
P. Welter, B. Fischer, R.W. Günther,  and T.M. Deserno, "Generic integration of content-based image retrieval in computer-aided diagnosis", Elsevier J. Comput. Method. Program. Biomed., vol. 108, pp. 589-599, 2012.
[20] 
D. Feng, J. Yang,  and C. Liu, "An efficient indexing method for content-based image retrieval", Elsevier J. Neurocomput., vol. 106, pp. 103-114, 2012.
[21] 
N. Singh, K. Singh,  and A.K. Sinha, "A novel approach for content-based image retrieval", Elsevier J. Proc. Technol., vol. 4, pp. 245-250, 2012.
[22] 
G. Quellec, M. Lamard, G. Cazuguel, B. Cochener,  and C. Roux, "Fast wavelet-based image characterization for highly adaptive image retrieval", IEEE Trans. Image Process., vol. 21, pp. 1613-1623, 2012.
[23] 
A. Quddus,  and O. Basir, "Semantic image retrieval in magnetic resonance brain volumes", IEEE Trans. Inf. Technol. Biomed., vol. 16, pp. 348-355, 2012.
[24] 
H.C. Akakin,  and M.N. Gurcan, "Content-based microscopic image retrieval system for multi-image queries", IEEE Trans. Inf. Technol. Biomed., vol. 16, pp. 758-769, 2012.
[25] 
T.Y.S. Rao,  and P.C. Reddy, "Content and context based image retrieval classification based on firefly-neural network", Multimedia Tools Appl., vol. 77, pp. 1-22, 2018.
[26] 
G. Liu,  and J. Yang, "Content-based image retrieval using color difference histogram", Elsevier J. Pattern Recognit., vol. 46, pp. 188-198, 2013.

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DOI https://dx.doi.org/10.2174/2213275911666181107114537	Print ISSN 2213-2759
Publisher Name Bentham Science Publisher	Online ISSN 1874-4796

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