A Proposal to Study the Applicability of Astronomical Image Processing Methods to Low Contrast Digital Images

研究天文图像处理方法对低对比度数字图像的适用性的建议

• 批准号: 9520463
• 负责人: Steven Salzberg
• 金额: $ 5万
• 依托单位: Johns Hopkins University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-04-01 至 1997-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9520463&HistoricalAwards=false
• 关键词: Proposal; Study; Applicability; Astronomical; Image

ABSTRACT AST-9520463 Salzberg, S. L. Astronomical image processing methods have been developed in the past several decades to a point of great sophistication, including facilities for image reconstruction and restoration (both for radio interferometry and the aberrated Hubble Space Telescope), image filtering, and object detection and classification. This project is aimed at determining the feasibility of applying astronomical image processing techniques to low contrast digital images from other fields. Digitized mammograms are similar in many ways to images of diffuse astronomical objects. The challenge in analyzing mammograms is to identify clusters of faint, point-like objects called microcalcifications; the astronomical analog would be faint stars, or perhaps cosmic ray hits on a CCD detector, in a region of extended nebulosity. Some initial experiments on mammograms are encouraging and this project will conduct a more systematic feasibility study. ***

摘要 AST-9520463 Salzberg，S. L. 天文图像处理方法在过去几十年中已经发展到非常复杂的程度，包括图像重建和恢复设施（用于射电干涉测量和像差哈勃太空望远镜），图像过滤以及物体检测和分类。 该项目旨在确定将天文图像处理技术应用于其他领域的低对比度数字图像的可行性。 数字化乳房X光照片在许多方面与弥漫的天体图像相似。 分析乳房X光照片的挑战是识别称为微钙化的微弱点状物体的集群;天文学模拟将是微弱的恒星，或者可能是在扩展的星云区域中撞击CCD探测器的宇宙射线。 一些关于乳房X光检查的初步试验令人鼓舞，该项目将进行更系统的可行性研究。 ***