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
