Feature Extraction Method Based on Image Neighborhood Structural Tensor Equation
A technology of structure tensor and feature extraction, applied in the field of algorithms, can solve problems such as difficult positioning and recognition edge blurring, and achieve the effect of accurate boundaries and simple methods
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[0047] Embodiment 1 A feature extraction method based on image neighborhood structure tensor
[0048] A feature extraction method based on image neighborhood structure tensor, which is performed in the following steps:
[0049] 1) Determine the lower boundary of the QR code;
[0050] a) Calculate the image centroid;
[0051]For a two-dimensional discrete digital image, its order geometric moment is defined as:
[0052] ; Among them, p, q=0,1,2..., M, N are the width and height of the image;
[0053] The formula for calculating the center of mass is:
[0054] ; where x 0 is the abscissa of the centroid, y 0 is the vertical coordinate of the centroid;
[0055] b) Intercept the area of pixels around the centroid, and calculate its grayscale histogram curve according to the rows of the image matrix;
[0056] c) After obtaining the histogram curve, find the line where the global minimum value of the curve is located as the estimated area of the lower boundary of the two-...
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