James Z. Wang 
Integrated Region-Based Image Retrieval [PDF ebook] 

支持

Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically- derived image features. The need for efficient content-based image re- trieval has increased tremendously in many application areas such as biomedicine, the military, commerce, education, and Web image clas- sification and searching. In the biomedical domain, content-based im- age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan- ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi- ence has certainly demonstrated how far we are as yet from solving this basic problem.

€115.13
支付方式
购买此电子书可免费获赠一本!
语言 英语 ● 格式 PDF ● ISBN 9781461516415 ● 出版者 Springer US ● 发布时间 2012 ● 下载 3 时 ● 货币 EUR ● ID 4722135 ● 复制保护 Adobe DRM
需要具备DRM功能的电子书阅读器

来自同一作者的更多电子书 / 编辑

88,492 此类电子书