Computational efficiency of structural image matching

Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST

Volumn 1, Issue , 2003, Pages 253-259

  Chase, Richard ^a   Kovalerchuk, Boris ^a  

^a CENTRAL WASHINGTON UNIVERSITY   (United States)

Author keywords

Algebraic invariants; Imagery conflation; Linear structure; Structural polyline match

Indexed keywords

ALGEBRA; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; IMAGE ANALYSIS; IMAGE SEGMENTATION; MATRIX ALGEBRA; POLYNOMIAL APPROXIMATION;

IMAGERY CONFLATION; IMAGERY REGISTRATION; POLYNOMIAL COMPLEXITY; STRUCTURAL IMAGE MATCHING; STRUCTURAL POLYLINE MATCH;

PATTERN MATCHING;

EID: 1842480423     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. B. Kovalerchuk, J. Schwing, Algebraic relational approach for geospatial feature correlation, In: Proceedings of International Conference on Imaging Science, Systems, and Technology (CISST'2002, June 24-27, 2002), Las Vegas, pp. 115-121, 2002. www.cwu.edu/~borisk/pub/CWUMethod.pdf
2. B. Kovalerchuk, W. Summer, Algebraic relational approach to conflating images, In: Proc. of SPIE International Conference Aerosense'2003, Orlando, FL, 21-25 April, 2003, SPIE, 2003 (in print).
3. B. Kovalerchuk, W. Sumner, J. Schwing, Image Registration and Conflation Based on Structural Characteristics. In: Proceedings of International Conference on Imaging Science, Systems, and Technology (CISST'2003, June 23-26, 2003), Las Vegas, 2003 (thi volume).
4. A. I. Mal'cev, Algebraic Systems, Springer-Verlag, New York, 1973.
5. R. Neapolitan, K. Naimipour, Foundations of Algorithms Using C++ Pseudocode, Jones and Bartlett Publ., 1998.