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Image Description Using a Multiplier-Less Operator
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DOI：10.1109/LSP.2009.2024589.png)
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摘要
En 中文
A fast algorithm for image classification based on a computationally efficient operator forming a semigroup on real numbers is developed. The new operator does not require any multiplications. The co-difference matrix based on the new operator is defined and an image descriptor using the co-difference matrix is developed. In the proposed method, the multiplication operation of the well-known covariance method is replaced by the new operator. The proposed method is experimentally compared with the regular covariance matrix method. The proposed descriptor performs as well as the the regular covariance method without performing any multiplications. Texture recognition and licence plate identification examples are presented.
Keyword:
Co-difference matrix
covariance matrix
license plate identification
multiplier-less signal processing
texture recognition
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期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
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