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| 影像资源的复球面放射树可视组织与交互技术 |
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滕东兴1, 闫奎名1,2, 樊银亭1,2, 马翠霞1, 戴国忠1, 王宏安1
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1.中国科学院 软件研究所 人机交互技术与智能信息处理实验室,北京 100190;2.中国科学院 研究生院,北京 100049
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| 摘要: |
| 针对海量影像资源可视组织与交互问题,提出了一种复球面放射树可视化技术.首先调研了相关工作;然后研究了面向海量影像资源的可视组织与交互技术需求模型;其次给出了基于相似度的影像数据层次组织模型,并介绍了一种基于改进二维平面放射树和球极映射方法的三维球放射树可视化技术及其布局算法;最后针对海量的医疗影像数据进行了实验验证,结果表明:该方法可在相对较小的显示空间内,展示节点细节,兼顾节点的上下文语境;提供的交互任务具有较好的交互效率和较高的用户满意度. |
| 关键词: 海量影像资源 非结构化数据 可视化 人机交互 放射树 |
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| 基金项目:国家自然科学基金(61173057, 61100162); 国家高技术研究发展计划(863)(2012AA02A608); 国家科技支撑计划(2012BAE05B05); 中国科学院软件研究所科技项目(ISCAS-2010-01) |
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| Visual Organization and Interaction Technique for Large Scale Images with Complex Sphere Radial Tree |
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TENG Dong-Xing1, YAN Kui-Ming1,2, FAN Yin-Ting1,2, MA Cui-Xia1, DAI Guo-Zhong1, WANG Hong-An1
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1.Intelligence Engineering Laboratory, Institute of Software, The Chinese Academy of Sciences, Beijing 100190, China;2.Graduate University, The Chinese Academy of Sciences, Beijing 100049, China
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| Abstract: |
| A complex sphere radial tree visualization technique is proposed for visualizing large scale unstructured images based on stereographic mapping. The requirement model of visual organization and interaction for hierarchical images is first studied. Next, a hierarchical organization pattern is proposed, and layout algorithm is introduced for the visualization technique based on modified radial tree method and stereographic mapping. It gives the application instance of this technique on large-scale medical images. Results show that this visualization method can illustrate image contents while preserving global context in a certain space and provides powerful and effective support for users' analysis. |
| Key words: large scale image unstructured data visualization human-computer interaction radial tree |
