A Method of Converting Scalar Image to Vector Image
A vector graphics and image technology, applied in the field of digital image processing, can solve problems such as monotonous colors and rough lines, and achieve the effect of clear outline, smooth image and fast processing speed
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[0020] A method for converting a scalar image into a vector image, comprising the steps of:
[0021] Step 1. Lineize the original image to obtain the edge contour map of the image:
[0022] 1. Filtering: mainly based on the first-order and second-order derivatives of image intensity, but the derivatives are usually very sensitive to noise, so filters must be used to improve the performance of noise-related edge detectors. The filtering method mainly uses Gaussian filtering, that is, using a discrete Gaussian function to generate a set of normalized Gaussian kernels, and then weighting and summing each point of the image grayscale matrix based on the Gaussian kernel function.
[0023] G ( x , y ) = 1 2 π σ 2 exp ( - 1 2 π ...
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