Large-scale data field volume rendering method based on partition strategy

Abstract

The invention discloses a large-scale data field volume rendering method based on partition strategy, mainly solving the problem of small storage capacity of the volume rendering method based on GPU. The invention has the follow rendering process: whole volume data is decomposed to generate a plurality of subblocks with the same size, and all generated subblocks are numbered; distance between each subblock and a sight plane is calculated, and the subblocks are arranged from back to front according to the distance; octree is used for organizing the subblocks, and is used for removing the volume data in invalid subblocks; the subblocks are successively loaded into a texture memory in order; the subblocks are successively rendered by a 3D texture volume rendering algorithm based on GPU so as to obtain the rendering result of each subblock; the rendering results of all subblocks are mixed from back to front in a frame buffer to obtain a whole rendering image. The invention has the advantages of small cost for loading the volume data into the texture memory, and high speed of treating and rendering volume data, and can be used for quickly rendering texture memory capacity volume data whose data scale is bigger than GPU.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a graphics processing method based on GPU, which can be used for rapid rendering of large-scale volume data in the fields of scientific calculation, medical imaging, seismic survey, meteorology, finite element analysis and the like. Background technique [0002] With the development of modern technology, the data that people need to deal with has become more and more complex, and this fact has increased the demand for computer-aided visualization. Therefore, in the 1980s, scientific computing visualization was proposed as an independent discipline. In February 1987, the National Science Foundation of the United States held the first conference on visualization in scientific computing in Washington DC, with participants from computer graphics, image processing, and experts in various fields. The meeting believed that "the application of graphics and image technology to s...

AI Technical Summary

Problems solved by technology

Kai Xie et al. proposed a method VT combining block and visual detection. This method realizes the rendering of large-scale volume data without reducing the quality of the rendering image, but the texture is switched too frequently during rendering and the performance is low.

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