CNN-based method and system for determining the height of a barefoot or sock wearing footprint
A judging method and judging system technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as relying on personnel experience, achieve the effect of reducing the need for personnel experience and improving accuracy
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Embodiment 1
[0044] This embodiment provides a method for judging the height of barefoot or socks-wearing footprints based on CNN, including:
[0045] S1: Preprocess the barefoot or socks footprint image;
[0046] A. Image correction of barefoot or socks footsteps: During the image acquisition process, the images are skewed due to the different positions of each person. Applying the PCA algorithm to correct the rotation of the barefoot gray image is figure 1 shown. First set a grayscale threshold θ, and then traverse each pixel of the grayscale image. If the grayscale value is greater than θ, store the position information of the pixel in the feature matrix, specifically a matrix with n rows and 2 columns , the value of n is equal to the number of pixels whose pixel value is greater than θ in the grayscale image, the first column represents the position information of the pixel, and the second column represents the position information. On this basis, two two-dimensional feature vector...
Embodiment 2
[0080] The second technical solution of the present application is: a plantar pressure visualization analysis system, comprising:
[0081] Image preprocessing module: preprocess barefoot or socks footprint images;
[0082] Classification module: classify the height segment of the preprocessed image;
[0083] The classification module includes:
[0084] Data discretization module: discretize height data; firstly, the distribution of male and female heights is very different, so the prediction model constructed will study males and females separately. Second, the population was grouped according to different height groups. In this embodiment, men are divided into five groups according to different height segments, and women are also divided into five groups. For people who are not in the following height category, the study will not be conducted temporarily, and the classification table is shown in Table 1.
[0085] The data set production module divides the preprocessed dat...
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