Vehicle identification method based on Gabor feature extraction and sparse representation
A sparse representation and feature extraction technology, applied in the field of vehicle recognition, can solve the problems of easily damaged road surfaces, limited life of piezoelectric sensors, and high cost, and achieve the effect of simple ideas, uncomplicated calculations, and high accuracy
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[0027] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but not to be construed as a limitation of the present invention.
[0028] like figure 1 As shown, the vehicle recognition method based on Gabor feature extraction and sparse representation, extracts the Gabor features of the sample vehicle image through the 2D-Gabor filter bank, constructs the initial feature dictionary required for the sparse representation, and uses the principal component analysis method to analyze the initial feature dictionary. Dimension reduction processing, and extract the Gabor features of the vehicle image to be tested through the ...
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