A shape-based retrieval scheme for leaf images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3767 LNCS, Issue , 2005, Pages 876-887

  Nam, Yunyoung ^a   Hwang, Eenjun ^b  

^a Ajou University   (South Korea)

^b Korea University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONTENT BASED RETRIEVAL; IMAGE ANALYSIS; IMAGE PROCESSING; PATTERN MATCHING; ROBUSTNESS (CONTROL SYSTEMS);

DYNAMIC MATCHING ALGORITHM; LEAF IMAGE RETRIEVAL SYSTEM; SHAPE FEATURE; SHAPE REPRESENTATION;

IMAGING SYSTEMS;

EID: 33646705606     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11581772_77     Document Type: Conference Paper

References (20)

1. Gonzalez, Rafel C., Woods, Richard C: Digital Image Processing. Addison-Wesley. (1992)
2. Lin, H. J., Kao, Y. T.: A prompt contour detection method, the Distributed Multimedia Systems (2001)
3. Michael Heath, et al.: A Robust Visual Method for Assessing the Relative Performance of Edge Detection Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.19. No. 12. (1997) 1338-1359,.
4. Sundar, H., Silver, D., Gagvani, N., Dickinson, S.: Skeleton based shape matching and retrieval. Shape Modeling International. (2003) 130
5. Kurozumi Y., Davis W.A.: Polygonal approximation by the minimax method. Computer Vision, Graphics and Image Processing. (1982) 248-264
6. Sklansky, Chazin et al.: Minimum perimeter polygons of digitized silhouetts. (1972)
7. Sklansky J.: Finding the Convex Hull of a Simple Polygon. Pattern Recognition Letters, Vol.1 No.2. (1982)79-84
8. Nishida, H.: Structural feature indexing for retrieval of partially visible shapes. Pattern Recognition, Vol.35. No.1. (2002) 55-67
9. Loncaeic, S.: A survey of shape analysis techniques. Pattern Recognition, Vol.31. No.8. (1998) 983-1001
10. Freeman, H., Saghri, J.: Comparative Analysis of Line Drawing Modelling Schemes. Computer Graphics and Image Processing, Vol. 12. (1980)
11. Chang, C., Wenyin, L. and Zhang, H.: Image Retrieval Based on Region Shape Similarity. Electronic Imaging Storage and Retrieval for Image and Video Databases (2001)
12. Veltkamp, R.: Shape matching: similarity measures and algorithms. Technical Report UU-CS-2001-03, Netherlands (2001)
13. Indyk, P., Mptwani, R.: Approximate nearest neighbors: towards removing the curse of dimensionality. The 30 annual ACM symposium on Theory of computing, (1998) 604-613
14. Lee, C.B.: The Korea Plant Picture Book. ISBN-8971871954, Hang-moon-sa, (1982).
15. Petrakis, E.,;Diplaros, A. and Milios, E.: Matching and Retrieval of Distorted and Occluded Shapes Using Dynamic Programming. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.24. No.11. (2002) 1501-1516
16. Choi, W., Lam K. and Siu, W.: An adaptive active contour model for highly irregular boundaries. Pattern Recognition, Vol.34. (2001) 323-331
17. Alt, H., Behrends, B. and Blomer, J.: Approximate matching of polygonal shapes. Ann. Math. Artif. Intell. Vol.13. (1995) 251-266
18. Wang, Z., Chi, Z., Feng, D., Wang, Q.: Leaf Image Retrieval with Shape Features. Lecture Notes in Computer Science, Vol.1929. (2000) 477-487
19. Mokhtarian, F., and S. Abbasi.: Matching Shapes with Self-Intersections: Application to Leaf Classification. IEEE Transactions on Image Processing, Vol.13. No.5. (2004) 653-661
20. The MathWorks - MATLAB and Simulink for Technical Computing http://www. mathworks. com