DocumentCode :
1581235
Title :
An efficient correlation computation method for binary images based on matrix factorisation
Author :
Bogush, R. ; Maltsev, S. ; Ablameyko, S. ; Uchida, S. ; Kamata, S.
Author_Institution :
Polotsk State Univ., Novopolotsk, Byelorussia
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
312
Lastpage :
316
Abstract :
A novel algorithm for complexity reduction in binary image processing, namely for computation of correlation between image and object template is proposed. This algorithm is based on direct computation of vector-matrix multiplication with utilisation of binary matrix factorisation approach. Comparison with other algorithms is given and it is shown that our approach allows to reduce time and complexity of this task
Keywords :
computational complexity; correlation methods; image processing; matrix decomposition; object recognition; binary image processing; binary matrix factorisation; complexity reduction; correlation; matrix factorisation; object detection; pattern recognition; vector-matrix multiplication; Computational complexity; Cybernetics; Fourier transforms; Frequency domain analysis; Image processing; Intelligent systems; Matrix decomposition; Object detection; Pattern recognition; Sparse matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-1263-1
Type :
conf
DOI :
10.1109/ICDAR.2001.953805
Filename :
953805
Link To Document :
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