Image vectorization method based on sub-pixels
A sub-pixel and vectorization technology, applied in the field of sub-pixel-based image vectorization, can solve the problems of small storage space, difficult and inconvenient raster image editing, and achieve the effect of ensuring smoothness
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[0028] With reference to accompanying drawing, further illustrate the present invention:
[0029] A method for image vectorization based on sub-pixels, comprising the following steps:
[0030] Step 1. Firstly, the input image is segmented using the gradient minimization method based on L0 to obtain the segmented image Is.
[0031] Step 2. Traverse the segmented image Is in step 1 to find the boundary of the input Is. The boundary map is represented by an image with a width of w+1 and a height of 2h+1, where w and h are the width and high.
[0032] Step 3. Find the inflection point of the boundary in the input image, represented by a green point. Traverse the input image, find all borders between inflection points, and store them in the set C_border.
[0033] Step 4. Traverse the input image, number the image regions, and store them in the region set R. For each region find the borders adjacent to that region. Sorts the borders clockwise, according to the region's edge.
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