The Colour Similarity in the Application and Research of Image Retrieval of Tianmen blue calico

Lei Zhang

Abstract


Aiming at the digital information gap of Tianmen blue calico, which is the intangible cultural heritage of Hubei Province, this paper analyzes the technical feasibility of the content-based digital image retrieval system of blue calico, drawing the conclusion that efficient retrieval of images can be achieved by calculating the vector similarity of colour features. Four types of similar distances of blue calico digital images are calculated using the OpenCV Library. Analyzing and selecting the standards of calculation show a good foundation for the Tianmen blue calico digital image retrieval system based on content retrieval.


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Datta R., Joshi D. and Li J. (2008). Image Retrieval: Ideas, Influences, and Trends of the New Age, ACM Computing Surveys, 40 (2), 60-65.Doi: 10.1145/1348246.1348248.

Dong W.J., Zhou M.Q., Geng G.H. (2004).Technology Based on Texture and Shape Features of Image Retrieval. Computer Engineering Application, 10, 20-28.

Hegely L., Lang P. (2015). Optimisation of a batch extractive distillation process with off-cut recycle, Chemical engineering transactions, 45, 1117-1122.Doi: 10.3303/CET1545187.

Kavita C.H., Shanu S. (2016). Analysis and optimization of feature extraction techniques for content based image retrieval, Advances in Intelligent Systems and Computing, 435, 357-365.Doi：10.1007/978-81-322-2757-1_36.

Li C.L., Qian S.Y. (2015). Measuring image similarity based on shape context, International Journal of Multimedia and Ubiquitous Engineering, 10(3), 127-134.Doi: 10.14257/ijmue.2015.10.3.13.

Li M.L. (2010). Design and Implementation on the Image Retrieval Technology and System Based on Colour and Shape, Xi'an: Northwest University, 8-32.

Li S.H. (2011). Research on the Multi-features Based Image Retrieval, Wuhan: Hubei University of Technology, 8-17.

Meng F.J., Guo B.L. (2004).CBIR key technology research. Computer Research and Application., 21-27.

Meng F.J., Guo B.L. (2004). Research on the Key Technology of CBIR, Journal of Computer Applications and Research, 7 (2): 21-27.

Mori G., Belongie S., Malik J. (2001). Shape contexts enable efficient retrieval of similar shapes. Proceeding of the 2001 IEEE Computer Society Conference on Computer Vision and Patten Recongition, 1: 723-730.Doi:10.1109/CVPR.2001.990547.

Sharma O., Mioc D., Anton F. (2007). Feature extraction and simplification from colour images based on colour image segmentation and skeletonization using the quad-edge data structure, 15th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 225-232.

Shoham Y. (1993). Agent Oriented Programming, Artificial Intelligence, 60(2): 51-92.Doi:10.1016/0004-3702(93)90034-9.

Swain M.J., Ballard D.H. (1991). Colour indexing, International Journal of Computer Vision, 42(5), 26-46.Doi:10.1007/BF00130487.

Wang Y., Yang X.C., Li C.Z. (2013). A method for evaluate the effects of compression to image feature extraction, Guangzi Xuebao/Acta Photonica Sinica, 42(5), 601-604.

Wan H., Pan Y.W., Li J.Q. (2014). Computer vision research based on openCV, WIT Transactions on Information and Communication Technologies,51, 1443-1450.Doi:10.2495/ICCT20131612.

Woebbecke D.M., Meyer G.E. (1995). Colour Indices for Weed Identification under Various Soil, Residue, and Lighting Conditions, Transactions of the ASAE, 10, 28-39.Doi:10.13031/2013.27838.

Yang Y.X., Zhang C.Y., Huang Y.W., Guo Y.S., Xu J.Y. (2016). The design and research of a creative automatic bouncing socket, Mathematical modeling of engineering problems, 3(2), 11-14.Doi: 10.18280/mmep.030204.

Yao M. (2006). Digital Image Processing, Beijing: Mechanical Industry Press, 17-27.Doi:10.1117/1.3115362.

Yoo H.W., Jang D.S., Juang S.H. (2012).Visual Information Retrieval System via Content-based Approach, Pattern Recognition, 35(4), 749-769.Doi:10.1016/S0031-3203(01)00072-3.

Yu X., Li Y. (2014). Comparing Research on Impacts on the Colour Histogram of Nantong Blue Calico of Quantization in the HSV Colour Space, Electronics and Software Engineering, 8(2), 25-28.

Zhai J.F. (2010). Design and Implementation of the Multi-features Based Image Retrieval System, Beijing: Beijing University of Posts and Telecommunications, 7-11.

Zhao L.Q. (2010). Research and Implementation of Multi-feature Based Image Retrieval Technology, Changchun: Changchun University of Technology, 8-12.


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