Texture compression method and device of three-dimensional map image
A technology of three-dimensional map and compression method, applied in the field of image processing, can solve the problems of data storage and processing large amount of data, achieve high repetition rate and achieve the effect of compression
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no. 1 example
[0024] This embodiment provides a technical solution of a texture compression method for a three-dimensional map image. The texture compression method for a three-dimensional map image is executed by a texture compression device for a three-dimensional map image.
[0025] see figure 2 , the texture compression method of the three-dimensional map image comprises:
[0026] S21. Block the target texture image to obtain multiple blocks of the target texture image.
[0027] Texture is such an image characteristic, which reflects the spatial arrangement of pixels in the image, and often shows a characteristic that is irregularly arranged in a local area but has certain rules from a macroscopic point of view. If the statistical properties in a certain area in an image or other local area-related properties of some images change slowly or show approximate periodic changes, we can call it texture.
[0028] As mentioned above, 3D map images contain a large amount of image texture in...
no. 2 example
[0042] Based on the above-mentioned embodiments of the present invention, this embodiment further provides a technical solution for feature extraction in the texture compression method of the 3D map image. In this technical solution, extracting the features of each block through two-dimensional Gabor wavelet transform includes: performing two-dimensional Gabor wavelet transform on each block; performing dimensionality reduction on the result of the two-dimensional Gabor wavelet transform to obtain each characteristics of a block.
[0043] see image 3 , extracting the features of each block through two-dimensional Gabor wavelet transform includes:
[0044] S31. Perform two-dimensional Gabor wavelet transform on each block.
[0045] As described in the first embodiment of the present invention, the two-dimensional Gabor wavelet transform can tolerate a certain degree of image rotation and deformation, and has better robustness. Therefore, in the present invention, two-dimens...
no. 3 example
[0051] Based on the above-mentioned embodiments of the present invention, this embodiment further provides a technical solution of block clustering in the texture compression method for a 3D map image. In this technical solution, according to the Euclidean distance between the features of different blocks, clustering each block of the target texture image includes: calculating the Euclidean distance between the features of different blocks; using clustering An algorithm for clustering each block of the target texture image according to the Euclidean distance.
[0052] see Figure 4 , according to the Euclidean distance between the features of different blocks, clustering each block of the target texture image includes:
[0053] S41. Calculate the Euclidean distance between the features of different blocks.
[0054] In particular, the features of the different blocks are represented by feature vectors. In the eigenvector space, there is a certain distance between different e...
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