3D Image segmentation and shape characterisation driven by topological persistence

由拓扑持久性驱动的 3D 图像分割和形状表征

• 批准号: DP0666442
• 负责人: Prof Adrian Sheppard
• 金额: $ 21.43万
• 依托单位: The Australian National University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2006
• 资助国家: 澳大利亚
• 起止时间: 2006-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0666442
• 关键词: 3D; Image; segmentation; shape; characterisation

Tomographic imaging is emerging as a new tool to help tackle a remarkable array of scientific challenges. What distinguishes healthy bone from that of osteoporosis sufferers? How does groundwater contamination spread? Why is a macadamia nut so hard to crack? What causes the iridescence in a butterfly wing? These are just a few of the questions being answered at tomographic facilities in Australia alone. By combining sophisticated mathematics with cutting edge image-processing algorithms, this project will yield a new class of topology driven image analysis techniques that will improve the accuracy and reliability of predictions made from tomographic images.

层析成像正在成为一种新的工具来帮助解决一系列显著的科学挑战。健康的骨骼与骨质疏松症患者的骨骼有何区别？地下水污染是如何扩散的？为什么夏威夷坚果这么难咬？是什么导致了蝴蝶翅膀上的彩虹色？这些只是在澳大利亚的断层扫描设施中正在回答的几个问题。通过将复杂的数学与尖端的图像处理算法相结合，该项目将产生一类新的拓扑驱动图像分析技术，这将提高从层析图像中做出预测的准确性和可靠性。