Volume rendering viewpoint evaluation and selection method for improving wind-driven optimization

A wind-driven optimization, volume rendering technology, applied in 3D image processing, image data processing, instruments, etc., can solve problems such as finding balance

Pending Publication Date: 2020-08-25
JIANGSU UNIV OF SCI & TECH
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  • Claims
  • Application Information

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Problems solved by technology

[0004] At present, commonly used intelligent methods include Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Cuckoo Search (CS) and Shuffled Frog Leaping Algorithm (SFLA), etc. , but the above algorithm is difficult to find a balance between optimization accuracy and calculation speed

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  • Volume rendering viewpoint evaluation and selection method for improving wind-driven optimization
  • Volume rendering viewpoint evaluation and selection method for improving wind-driven optimization
  • Volume rendering viewpoint evaluation and selection method for improving wind-driven optimization

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Embodiment Construction

[0061] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0062] Such as figure 1 As shown, a method for evaluating and selecting viewpoints of volume rendering for improved wind-driven optimization of the present invention, the specific steps are as follows:

[0063] Step 1, initialize various data

[0064] Initialize the number of air particles N as 12, set the maximum number of iterations N iter 30 times, friction coefficient α=0.4, gravitational acceleration g=0.2, RT=3, c=0.4, and allowable maximum speed value u max =0.3, initialize the air pressure function, and the boundary conditions can be expressed as:

[0065]

[0066] Step 2, randomly assign the current position and velocity of the air particles

[0067] Randomly assign the current position x of 12 air particles cur and speed u cur , as attached figure 2 , initialize the angle between the projection of the viewpoint direction vector VP(k)=[α(k...

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Abstract

The invention discloses a volume rendering viewpoint evaluation and selection method based on improved wind-driven optimization. The method specifically comprises the following three parts and steps:(1) constructing a viewpoint evaluation function of multi-feature fusion based on image variance, average gradient and information entropy; (2) arranging a method for selecting volume data visualization optimal viewpoints based on a wind-driven optimization algorithm; and (3) improving the method for selecting volume data visualization optimal viewpoints fora wind-driven optimization algorithm incombination with random position disturbance of a fruit fly algorithm. Compared with an existing method, the invention has the advantages that the number of iterations is minimum when the optimal solution is achieved, the convergence time is short, the global search capacity is high, meanwhile, the speed and precision of viewpoint selection are both considered, and the efficiency of viewpoint selection is effectively improved.

Description

technical field [0001] The invention belongs to the fields of computer graphics, scientific computing, medicine and engineering, and in particular relates to an improved wind-driven optimized volume rendering viewpoint evaluation and selection method. Background technique [0002] In the process of 3D volume data visualization, in order to obtain enough information, the volume data needs more user control and interaction, constantly changing the viewing angle and viewpoint; and when the viewpoint changes, the entire image needs to be redrawn, which makes the volume data visualization The efficiency is greatly reduced, so new technologies are needed to guide users to obtain more information. [0003] With the development of artificial intelligence technology, the use of intelligent methods to select the best viewpoint and display more information to users will help users observe volume data and improve the efficiency of understanding to meet the diverse needs of users. [00...

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Application Information

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IPC IPC(8): G06T15/04G06T17/00G06N3/00
CPCG06T15/04G06T17/00G06N3/006
Inventor 刘莹马国军郭瑞敏王明季正超马澄顾凯黄炜嘉郑威魏雪云朱琎李效龙
Owner JIANGSU UNIV OF SCI & TECH
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