Natural Vision Data File Format as a New Spectral Image Format for Biological Applications
| Autor: | Sarita Keski-Saari, Markku Hauta-Kasari, Markku Keinänen, Laure Fauch, Lars Granlund, Joji Sakamoto, Ilkka Porali, Elina Oksanen, Jouni Hiltunen, Jennifer Dumont, Joni Orava |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Flexibility (engineering)
medicine.medical_specialty Information retrieval GIS file format Computer science computer.file_format computer.software_genre Prime (order theory) Spectral imaging Design rule for Camera File system Computer Science::Computer Vision and Pattern Recognition Data file medicine Wireless Application Protocol Bitmap Format Image file formats Data mining computer |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319079974 ICISP |
| Popis: | Many kinds of spectral image formats are used for various applications, but there is still no existing standard format. Natural Vision data file format is one of the best possible candidates for the standard of spectral image format due to its flexibility to adapt to various kinds of existing image format and capacity to include information needed for each application. In biology, the analysis of huge datasets acquired by various techniques requires the use of specific databases. In order to be able to combine different data, defining a standard spectral image format that includes biological parameters is of prime importance. This paper describes an attempt to use Natural Vision data file format for spectral images related to biology and highlights the merits of Natural Vision data file format as an application oriented spectral image format. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|