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Description
The Image Analytics Project enables scientific discovery by:
- Understanding scientific imagery, including
- traditional imagery forms and sizes
- advanced imagery forms and sizes (including very large images)
- Characterizing and evaluating sensors and processors of scientific imagery, including
- traditional sensors and architectures
- advanced, distributed, interactive sensors and architectures
- Organizing scientific domain knowledge
- minimizing error and maximizing access through image processing, machine learning, and distributed technologies
- Understanding and interpreting scientific domain knowledge
- enabling a breadth and depth of insight not possible by manual means through the use of image processing technologies to search, classify, visualize, and interpret massive amounts of scientific imagery
- Using scientific knowledge in new and unexpected ways
- enabling the ability to collaborate, investigate, and innovate in ways not possible before
- Measuring the quality and applicability of domain-specific
- image data processing tools
- image data processing infrastructures
- image data representations
Projects
Created May 10, 2018, Updated July 7, 2021