Level Set Algorithms for Image Analysis: Advanced Numerical Techniques for Shape and Character Recongnition and Recovery (Postdoctoral Research Associateship)

用于图像分析的水平集算法：形状和字符识别与恢复的高级数值技术（博士后研究助理）

• 批准号: 9404904
• 负责人: James Sethian
• 金额: $ 4.62万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-07-01 至 1997-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9404904&HistoricalAwards=false
• 关键词: Level; Set; Algorithms; Image; Analysis

Sethian 9404904 This proposal will develop a new approach to shape modeling which retains the most attractive features of existing methods, and overcomes their prominent limitations. The technique can be applied to model arbitrarily complex shapes, which include shapes with significant protrusions, and to situations where no a priori assumption about the object's topology is made.

Sethian 9404904该提案将开发一种新的形状建模方法，该方法保留了现有方法的最有吸引力的特征，并克服了它们的突出局限性。 该技术可以应用于任意复杂的形状，其中包括形状与显着的突起，并没有先验假设的对象的拓扑结构的情况下。