Multiscale Image Structure Detection

多尺度图像结构检测

• 批准号: 9319038
• 负责人: Narendra Ahuja
• 金额: $ 25.5万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-08-15 至 1997-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9319038&HistoricalAwards=false
• 关键词: Multiscale; Image; Structure; Detection

9319038 Ahuja This is the first year funding of a three-year continuing award. The research focuses on analysis, development, real-time implementation, and initial exploration of real-world application of a new image transform. The transform is intended for multiscale, low-level image segmentation (i.e., extraction and representation of image structure at all geometric and photometric scales present in an image). The transform detects contours and skeletons of image regions, and identifies the cross-scale relationships among them. Implementation of the algorithms on highly-parallel architectures will be studied, as well as development of special purpose hardware for real-time implementation.

9319038阿胡加这是第一年为三年持续奖励提供资金。研究重点是一种新的图像变换的分析、开发、实时实现和实际应用的初步探索。该变换用于多尺度、低级别的图像分割(即，提取和表示图像中存在的所有几何和光度尺度的图像结构)。该变换检测图像区域的轮廓和骨架，并识别它们之间的跨尺度关系。将研究算法在高度并行体系结构上的实现，以及为实时实现而开发的专用硬件。