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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Integrated Region-Based Image Retrieval

Integrated Region-Based Image Retrieval

Wang, James Z.

Paperback

Series: Information Retrieval, Book 11

Medical ReferenceGeneral ComputersSystem Administration

ISBN10: 1461356555
ISBN13: 9781461356554
Publisher: Springer
Published: Oct 14 2012
Pages: 178
Weight: 0.63
Height: 0.42 Width: 6.14 Depth: 9.21
Language: English
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.

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