Bionic contour detection method based on color and gray feature fusion
A grayscale feature, contour detection technology, applied in image data processing, instrumentation, computing and other directions, can solve problems such as missing target contour information and reducing the performance of contour detection models.
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[0064] like figure 1 Shown, the technical scheme of the present embodiment is as follows:
[0065] A bionic contour detection method based on color and grayscale feature fusion, comprising the following steps:
[0066] A. Input the image to be detected, and calculate the color features; extract the red, green, and blue components of each pixel in the image to be detected, and use the red and green components to calculate the yellow component of each pixel; preset the center Two-dimensional Gaussian function, for each pixel point, use the central two-dimensional Gaussian function to filter the red, green, blue, and yellow components of the pixel point, respectively, to obtain the filter response value of each color component of the pixel point;
[0067] Described step A specifically is:
[0068] The filter response values of the various color components are as follows:
[0069] S C (x,y)=I C (x,y)*G c (x,y) (1);
[0070] where S C (x, y) represents the filter response...
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