Image Retrieval Based on Chain Code Algorithm Using Color and Texture Features
DOI:
https://doi.org/10.31642/JoKMC/2018/040203Keywords:
Chain codes algorithm, , Feature extraction, (Hue, Saturation, Value), Image Retrieval and RGB.Abstract
The rapid growth of image retrieval has provided an efficient Content-Based Image Retrieval CBIR system to retrieve image accurately. In this paper, a precise retrieval result by exploiting color, texture and shape features is proposed. First, extract the features by color moment and (Hue, Saturation, Value HSV color space as a color feature, and then get the co-occurrence matrix as well as Discrete Wavelet Transform DWT for a texture feature. Chain codes algorithm, specifically chain code histogram, is then applied to obtain the codes of the shape feature. Second, collect all these features and store it in the database, where each record represents one image of the dataset. Similarity process is executed to find the images that are more similar to the query image, retrieved images ranked. The dataset applied in this study is WANG that includes 10 classes with each class containing 100 images. Experimental results have revealed that the proposed method outperformed the previous studies with an average of 0.824 in term of precisionDownloads
References
Xinjung, Z. 2006. Research of Image retrieval based on color features, Liaoning technical University, 9(2), pp: 42-50.
Sebe, N. Tian, Q. Loupias, E. Lew, M.S. and Huang, T. S. 2003.Evaluation of salient point techniques, International Conf. of image and vision Computing, 21(13-14), pp:1087-1095. DOI: https://doi.org/10.1016/j.imavis.2003.08.012
Yu-guang, Ye. 2007. Research of image Retrieval based on fusing with multi-character, Ph.D. thesis, Hua Qiao University, China, 14-16.
Smeulders, A. Worring M., Santini, M. S., Gupta, A. and Jain, R. 2000. Content-based image retrieval at the end of the early years, IEEE Trans Pattern Anal Machine Intell, 22, pp: 1349-1380. DOI: https://doi.org/10.1109/34.895972
Howarth, P. and Ruger, S. 2004. Evaluation of texture features for content based image retrieval, P. Enser et al. (eds) Image and video retrieval. Springer Berlin Heidelberg, LNCS 3115, pp: 326-334. DOI: https://doi.org/10.1007/978-3-540-27814-6_40
Swain, M. Z. and Ballard, D. H. 1992. Color Indexing, International Journal of Computer Vision, 7(1), pp: 11-32. DOI: https://doi.org/10.1007/BF00130487
Stricker, M. and Orengo, M. 1995. Similarity of color images, In SPIE Conference on Storage and Retrieval for Image and Video Databases, San Jose, USA, 2420, pp: 381-392. DOI: https://doi.org/10.1117/12.205308
Eakins, J. P. and Graham, M. E., 2010. Content-based Image Retrieval, A report to the JISC Technology Applications Program, http://www.unn.ac.uk/iidr/research/cbir/report.
Tamura, H. Mori, S. and Yamawaki, T. 1976. Texture features corresponding to visual perception, IEEE Trans. On Systems, Man and Cybernetics, 6(4), pp: 460-473. DOI: https://doi.org/10.1109/TSMC.1978.4309999
Niblack, W. et. al., 1993. QBIC Project: Querying Images by Content Using Color, Texture and Shape, Proc. Of the Conference Storage and Retrieval for Image and Video Databases, San Jose, CA, SPIE 1908, pp: 173-187. DOI: https://doi.org/10.1117/12.143648
Liu, F. and Picard, R.W. 1996. Periodicity, directionality and randomness: Wold features for image modeling and retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(7), pp: 722-733. DOI: https://doi.org/10.1109/34.506794
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Copyright (c) 2017 Ali M Ahmed, Saadi M Saadi, Karrar Neamah Hussein
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