Image self-adaptive grid generation variational method
An adaptive grid and image technology, applied in image data processing, 3D modeling, instruments, etc., can solve problems such as large optimization space, and achieve the effect of reducing approximation errors
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[0069] Before describing this embodiment in detail, it should be pointed out that the variational method for image adaptive grid generation demonstrated in this embodiment is an automatic method, and the user only needs to manually set a small number of algorithm parameters. Regarding the setting of some parameters, in order to obtain the best possible results, we recommend that the total number of vertices of the triangular mesh should not be less than 100, and the total number of Newton iterations should not be less than 5; Less than 2 times, and the number of Newton iterations after adding points is not less than 3 times. In addition, the present invention has a better approximation effect on images with high resolution, so it is recommended that the image resolution is not lower than 128×128;
[0070] see figure 1 , the present invention provides a kind of image self-adaptive grid generation variational method, comprises the following steps:
[0071] S1, input image, set...
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Abstract
Description
Claims
Application Information
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