Browse > Article

Clipart Image Retrieval System using Shape Information  

Cheong, Seong-Il (Dept. of Computer Engineering, Kyungpook National University)
Kim, Seung-Ho (Dept. of Computer Engineering, Kyungpook National University)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.8, no.1, 2002 , pp. 116-125 More about this Journal
Abstract
This paper presented a method of extracting shape information from a clipart image and then measured the similarity between clipart images using the extracted shape information. The results indicated that the outlines of the extracted clipart images were clearer that those of the original images. Previous methods of extracting shape information could be classified into outline-based methods and region-based methods. Included in the former category, the proposed method expressed the convex and concave aspects of an outline using the ratio of a rectangle. Accordingly, the proposed method was superior in expressing shape information than previous outline-based feature methods.
Keywords
Image; Shape; Feature Vector; Content Based Image Retrieval(CBIR);
Citations & Related Records
연도 인용수 순위
  • Reference
1 /
[ A. Jian ] / Fundamentals of digital image processing
2 B. Mehtre, M. Kankanhalli, and W. Lee, 'Shape measures for content based image retrieval : A comparison,' Information Processing & Management, Vol.33, No.3, pp. 319-337, 1997   DOI   ScienceOn
3 A. Jain and A. Vailaya, 'Shape-Based Retrieval: A case study with trademark image databases,' Pattern Recognition. Vol.31, No.9, pp. 1369-1390, 1998   DOI   ScienceOn
4 A. Bimbo and P. Pala, 'Visual image retrieval by elastic deformation of user sketches,' IEEE Trans. on PAMI, Vol.10, pp. 496-513, 1990
5 R. Gonzalez and R. Wood, Digital Image Processing, Addison Wesley, 1992
6 W. Pratt, Digital Image Processing, John Wiley & Sons, 1991
7 H. Freeman and L. Davis, 'A corner finding algorithm for chain coded curves,' IEEE Transaction on Computers, Vol.26, pp. 297-303, 1977   DOI   ScienceOn
8 A. Khotanzad and Y. Hong , 'Invariants image recognition by Zerike Moments,' IEEE Trans on PAMI, Vol.12, No.5, pp. 489-497, 1990   DOI   ScienceOn
9 A. Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989
10 A. Khotanzad and Y. Hong , 'Invariants image recognition by Zerike Moments,' IEEE Trans on PAMI, Vol.12, No.5, pp. 489-497, 1990   DOI   ScienceOn
11 E. Bribiesca and A. Guzman, 'Shape description and shape similarity for two dimensional region,' International Conference on Pattern Recognition, 1978
12 A. Jian, Fundamentals of digital image processing, Prentice Hall, 1989
13 B. Mehtre, M. Kankanhalli, and W. Lee, 'Content-based image retrieval using a composite colorshape approach,' Information Processing & Management, Vol.34, No.1, pp. 109-120, 1998   DOI   ScienceOn
14 C. Chen, 'Improved moment invariants for shape discrimination,' Pattern Recognition, Vol.26, No.5, pp. 683-686, 1993   DOI   ScienceOn
15 I. Kim, J. Lee, Y. Kwon, and S. Park, 'Contentbased image retrieval method using color and shape feature,' IEEE ICICS, pp. 948-952, 1907   DOI