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• 图形学与可视化 • 上一篇    下一篇

遮挡线索增强的最大密度投影算法

摘 要:遮挡线索增强的最大密度投影算法(OEMIP)旨在解决最大密度投影法#br# (MIP)不能正确表达遮挡线索的问题,它包括两个步骤:首先使用K-Means 聚类算法从#br# MIP 结果图像中自动提取结构特征;然后根据结构特征自适应调节MIP 绘制过程以正确表#br# 达遮挡线索。此外,引入绘制优先级以避免重要特征被次要特征严重遮挡,并给出绘制优先#br# 级的自动设置算法。多个体数据的测试结果表明OEMIP 能显著增强遮挡线索,且能实现实#br# 时交互。#br# 关 键 词:体数据可视化;最大密度投影;遮挡线索;结构特征   

  • 出版日期:2015-06-30 发布日期:2015-05-05

Occulusion Enhanced Maximum Intensity Projection Algorithm

Abstract: Occlusion enhanced maximum intensity projection is to solve the problem that#br# maximum intensity projection can?t convey occlusion cue correctly. It consists of two steps:#br# firstly, K-Means clusting algorithm is used to extract structure features from MIP result images#br# automatically; and then it adjusts rendering process adaptively according to structure features.#br# Furthermore, the concept of rendering priority is introduced to avoid important features being#br# occluded badly by non-important features, and an algorithm is provided to set rendering priority of#br# structure feature automatically. Test result of several volume data indicates that OEMIP can#br# enhance occlusion cue significantly, and rendering speed is enough for real-time interaction.#br# Key words: volume visualization; maximum intensity projection; occlusion cue; structure#br# feature   

  • Online:2015-06-30 Published:2015-05-05

摘要: 遮挡线索增强的最大密度投影算法(OEMIP)旨在解决最大密度投影法
(MIP)不能正确表达遮挡线索的问题,它包括两个步骤:首先使用K-Means 聚类算法从
MIP 结果图像中自动提取结构特征;然后根据结构特征自适应调节MIP 绘制过程以正确表
达遮挡线索。此外,引入绘制优先级以避免重要特征被次要特征严重遮挡,并给出绘制优先
级的自动设置算法。多个体数据的测试结果表明OEMIP 能显著增强遮挡线索,且能实现实
时交互。

关键词: 体数据可视化, 最大密度投影, 遮挡线索, 结构特征

Abstract: Occlusion enhanced maximum intensity projection is to solve the problem that
maximum intensity projection cant convey occlusion cue correctly. It consists of two steps:
firstly, K-Means clusting algorithm is used to extract structure features from MIP result images
automatically; and then it adjusts rendering process adaptively according to structure features.
Furthermore, the concept of rendering priority is introduced to avoid important features being
occluded badly by non-important features, and an algorithm is provided to set rendering priority of
structure feature automatically. Test result of several volume data indicates that OEMIP can
enhance occlusion cue significantly, and rendering speed is enough for real-time interaction.

Key words: volume visualization, maximum intensity projection, occlusion cue, structure
feature