Virtual microscopy using JPEG2000

被引：0

作者：

Gomez, Francisco ^{[1
]}

Iregui, Mareela ^{[1
]}

Romero, Eduardo ^{[1
]}

机构：

[1] Univ Nacl Colombia, Fac Med, Bioingenium Res Grp, Bogota, DC, Colombia

来源：

COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS | 2007年 / 4673卷

关键词：

virtual microscopy; JPEG2000; efficient navigation; large images;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Navigation through large rnicroscopical images is a potential benefit for histology or pathology teaching, quality of diagnosis in pathology or communication between pathologists in some telemedicine applications. However, the size of this kind of images is prohibitive for navigation with conventional techniques. This paper presents a system which constructs large microscopical images and describes optimal strategies for navigation using the JPEG2000 (J2K) standard. Given a set of images automatically acquired from a microscope, they are registered to construct a mega-image. Using the J2K standard the image is compressed and stored. Finally, we developed a novel technique for browsing the image from the compressed bit stream, which allows to efficiently obtain regions of interest with different qualities and resolutions, i.e. in microscopical terms, with different enlargement settings.

引用

页码：181 / 188

页数：8

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