Improvement of Accuracy of Content-Based Image Retrieval Using Local and Statistical Methods
Subject Areas : Majlesi Journal of Telecommunication DevicesNarges Savoj 1 , Bijan Shoushtarian 2
1 - ...
2 -
Keywords:
Abstract :
[1] A. N. Tikle, C. Vaidya, and P. Dahiwale, "Notice of Retraction A Survey of Indexing Techniques For Large Scale Content-Based Image Retrieval," in 2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO) :5112 ,IEEE, pp. 1-5.
[2] P. Mueller, "Color image retrieval from monochrome transparencies," Applied optics, vol. 8, no. 10, pp. 2051-2057, 1969.
[3] V. N. Gudivada and V. V. Raghavan, "Content based image retrieval systems," Computer, vol. 28, no. 9, pp. 18-22, 1995.
[4] J. A. da Silva Júnior, R. E. Marçal, and M. A. Batista, "Image retrieval: importance and applications," in Workshop de Vis~ ao Computacional-WVC, 2014.
[5] M. S. Lew, N. Sebe, and J. P. Eakins, "Challenges of image and video retrieval ",in International Conference on Image and Video Retrieval, 2002: Springer, pp. 1-6.
[6] X.-y. Wang, Z.-f. Chen, and J.-j. Yun, "An effective method for color image retrieval based on texture," Computer Standards & Interfaces, vol. 34, no. 1, pp. 31-35, 2 .115
[7] G.-H. Liu and J.-Y. Yang, "Content-based image retrieval using color difference histogram," Pattern recognition, vol. 46, no. 1, pp. 188-198, 2013.
[8] A. Giri and Y. K. Meena, "Content based image retrieval using integration of color and texture features," International Journal of Advanced Research in
[9] A. Huneiti and M. Daoud, "Content-based image retrieval using SOM and DWT," Journal of Software Engineering and Applications, vol. 8, no. 02, p .5112 ,21 .
[10] M. Kaur and N. Sohi, "A novel technique for content based image retrieval using color, texture and edge features," in 2016 international conference on communication and electronics systems (ICCES), 2016: IEEE, pp. 1-7.
[11] S. Fadaei, R. Amirfattahi, and M. R. Ahmadzadeh, "New content-based image retrieval system based on optimised integration of DCD, wavelet and curvelet features," IET Image Processing, vol. 11, no. 2, pp. 89-98, 2016.
[12] N. Sai and R. C. Patil, "DCT-SVD domain feature vector for image retrieval," in 2017 International Conference on Signal Processing and Communication (ICSPC), 2017: IEEE, pp. 477-482.
[13] N. Jain and S. Salankar, "Content based image retrieval using improved gabor wavelet transform and linear discriminant analysis," in 2018 3rd International Conference for Convergence in Technology (I2CT), 2018: IEEE, pp. 1-4.
[14] X. Tian, Q. Zheng, and J. Xing, "Content-Based Image Retrieval System Via Deep Learning Method," in 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2018: IEEE, pp. 1257-1261.
[15] L. Liu, S. Lao, P. W. Fieguth, Y. Guo, X. Wang, and M. Pietikäinen, "Median robust extended local binary pattern for texture classification," IEEE Transactions on Image Processing ,vol. 25, no. 3, pp. 1368-1381, 2016.