Linear belts mining from spatial database with mathematical morphological operators

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

Volumn 3584 LNAI, Issue , 2005, Pages 769-776

  Wang, Min ^a,b   Luo, Jiancheng ^b   Zhou, Chenghu ^b  

^a NANJING NORMAL UNIVERSITY   (China)

^b INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SCIENCE; DATABASE SYSTEMS; MORPHOLOGY; SEISMOLOGY;

MATHEMATICAL MORPHOLOGICAL OPERATORS; MSCMO; SEMI-LINEAR CLUSTERS;

DATA MINING;

EID: 26944453131     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11527503_91     Document Type: Conference Paper

References (10)

1. Koperski K., Adhikary J., and Han J: Spatial Data Mining: Progress and Challenges Survey Paper. Proc. ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery, Montreal, Canada, (1996)
2. Ester, M., Kriegel, H.P., Sander, J. and Xu, X: Clustering for Mining in Large Spatial Databases. Special Issue on Data Mining, KI-Journal, 12(1998)18-24
3. Sander, J., Ester, M., Kriegel H., and Xu, X: Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications. Data Mining and Knowledge Discovery, 2(1998)169-194
4. Asano, T., and Katoh, N: Variants for the Hough transform for line detection. Computational Geometry, 6(1996)231-252
5. Bezdek, J.C., Coray, C., Gunderson, R. and Watson, J: Detection and characterization of cluster substructure: I. Linear structure: Fuzzy C-lines. SIAM J. Appl. Math.,40(1981): 339-357
6. Lindeberg, T: Scale-space: A framework for handling image structures at multiple scales. Proc. CERN school of Computering, Egmond aan Zee, The Netherlands, (1996)
7. Di, K., Li, D.L. and Li, D.Y: A Mathematical Morphology Based Algorithm for Discovering Clusters in Spatial Databases, Journal of Image and Graphics, 3(1998)173-178
8. Wang Min, Zhou Cheng-hu, Pei Tao, Luo Jian-chen: MSCMO: A Scale Space Clustering Algorithm Based on Mathematical Morphology Operators, Journal of Remote Sensing, 1(2004)45-50
9. Ester M, Kriegel H P, Sander J, Xu X: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: Proc. of the Second International Conference on Knowledge Discovery and Data Mining, Portland, Oregon, (1996)324-331
10. He, B., Ma, T., Wang, Y. and Zhu, H: Digital Image Processing with Visual C++. Beijing, China: People's Posts and Telecommunications Press, (2001)