References
- Hurtut T, Gousseau Y and Schmitt F. Adaptive image retrieval based on the spatial organization of colors. Comput. Vis. Image Underst., 2008, 112, (2), 101–113.
- Bruno OM, Nonato LG, Pazoti MA and Neto JB. Topological multi-contour decomposition for image analysis and image retrieval. Pattern Recognit. Lett., 2008, 29, 1675–1683.
- Almeida J, Rocha A, Torres R and Goldenstein S. Making colors worth more than a thousand words, Proc. ACM Symp. on Applied computing, Fortaleza, Brazil, March 2008, ACM, 1180–1186.
- Park J, Hwang E and Nam Y. Utilizing venation features for efficient leaf image retrieval. J. Syst. Softw., 2008, 81, 71–82.
- Jhanwar N, Chaudhurib S, Seetharamanc G and Zavidovique B. Content based image retrieval using motif co-occurrence matrix. Image Vis. Comput., 2004, 22, 1211–1220.
- Chan YK and Chen CY. Image retrieval system based on color-complexity and color-spatial features. J. Syst. Softw., 2004, 71, (1–2), 65–70.
- Lin CH, Chen RT and Chan YK. A smart content-based image retrieval system based on color and texture feature. Image Vis. Comput., 2009, 27, (6), 658–665.
- Huang PW and Dai SK. Image retrieval by texture similarity. Pattern Recognit., 2003, 36, (3), 665–679.
- Yin PY and Liu YM. Adaptive relevance feedback model selection for content-based image retrieval. Imag. Sci. J., 2010, 58, (1), 37–48.
- Jian MW, Dong JY and Ma J. Image retrieval using wavelet-based salient regions. Imag. Sci. J., 2011, 59, (4), 219–231.
- Lai CH. A colour image retrieval scheme based on Z-scanning technique. Imag. Sci. J., 2013, 61, (3), 320–333.
- Gonzalez-Diaz I, Baz-Hormigos CE and Diaz-de-Maria F. A generative model for concurrent image retrieval and ROI segmentation. IEEE Trans. Multimed., 2014, 16, (1), 169–183.
- Hu RX, Jia W, Ling H, Zhao Y and Gui J. Angular pattern and binary angular pattern for shape retrieval. IEEE Trans. Image Process., 2014, 23, (3), 1118–1127.
- Seetharaman G and Zavidovique B. Image processing in a tree of peano coded images, IEEE Workshop on Computer Architecture for Machine Perception, Cambridge, CA, USA, October 1997, IEEE, 229–234.
- Su MC and Chou CH. A modified version of the K-means algorithm with adistance based on cluster symmetry. IEEE Trans. Pattern Anal. Mach. Intell., 2001, 23, (6), 674–680.
- Kohonen T. Self-Organizing Maps, 2001, Springer Series in Information Sciences Vol. 30, 3rd edition (Springer-Verlag, Secaucus, NJ).
- Whitney AW. A direct method of nonparametric measurement selection. IEEE Trans. Comput. C, 1971, 20C, (9), 1100–1103.
- Rubner Y, Tomasi C and Guibas LJ. The earth mover’s distance as a metric for image retrieval. Int. J. Comput. Vis., 2000, 40, (2), 99–121.
- Li J and Wang JZ. Automatic linguistic indexing of pictures by a statistical modeling approach. IEEE Trans. Pattern Anal. Mach. Intell., 2003, 25, (9), 1075–1088.
- Babu GP, Mehtre BM and Kankanhalli MS. Color indexing for efficient image retrieval. Multimed. Tools Appl., 1995, 1, (4), 327–348.