Browse > Article
http://dx.doi.org/10.13160/ricns.2019.12.4.122

Object Feature Extraction Using Double Rearrangement of the Corner Region  

Lee, Ji-Min (SW Convergence Education Institute, Chosun University)
An, Young-Eun (College of General Education, Chosun University)
Publication Information
Journal of Integrative Natural Science / v.12, no.4, 2019 , pp. 122-126 More about this Journal
Abstract
In this paper, we propose a simple and efficient retrieval technique using the feature value of the corner region, which is one of the shape information attributes of images. The proposed algorithm extracts the edges and corner points of the image and rearranges the feature values of the corner regions doubly, and then measures the similarity with the image in the database using the correlation of these feature values as the feature vector. The proposed algorithm is confirmed to be more robust to rotation and size change than the conventional image retrieval method using the corner point.
Keywords
Corner Point; Double Rearrangement; Noise-invariant Feature Vector;
Citations & Related Records
연도 인용수 순위
  • Reference
1 A. W. M Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, "Content-based image retrieval at the end of the early years," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 12, 2000, pp. 1349-1380.   DOI
2 S. Michael, "Next-generation web searches for visual content," IEEE Computer, 2000, pp. 46-52.
3 Y. H. Ang, Zhao Li, and S. H. Ong, "Image Retrieval based on Multimensional Feature Properties," The International Society for Optical Engineering( SPIE), vol. 2420, 1995, pp. 47-57.
4 R. Brunelli and O. Mich, "Image Retrieval by Examples," IEEE Trans. on Multimedia, vol. 2, no. 3, 2000, pp. 164-171.   DOI
5 A. Yoshitaka and T. Ichikawa, "A Survey on Content- Based Retrieval for Multimedia Databases," IEEE Trans. on Knowledge and Data Engineering, vol. 11, no. 1, 1999, pp. 81-93.   DOI
6 J. K. Wu, "Content-based Indexing of Multimedia Databases," IEEE Trans. on Knowledge and Data Engineering, Vol.9, No.6, 1997, pp.978-989.   DOI
7 A. K. Jain and A. Vailaya, "Image retrieval using color and shape," Pattern Recognition, vol. 29, no. 8, 1996, pp. 1233-1244.   DOI
8 A. D. Bimbo and P. Pala, "Visual image retrieval by elastic matching of user sketches," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 19, no. 2, 1997, pp. 121-132.   DOI
9 Willian I. Grosky, Peter Neo, and Rajiv Mehrotra, "A Pictorial Index Mechanism for Model-based Matching," Data and Knowledge Engineering, vol. 8, 1992, pp. 309-327.   DOI
10 G.W.Kang, J.M.Lee and J.A.Park, "Image retrieval using the maximum sequence of the rearranged feature vector based on object corners," JKIIT, Vol. 8 No. 12, pp. 247-254, 2010.
11 Y. Rui and T. S. Huang, "Image retrieval: current techniques, promising directions, and open issues," J. of Visual Communication and Image Representation, vol. 10, 1999, pp. 39-62.   DOI