Image Analytics

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

• Web Image Processing Pipeline (WIPP)
• Deepzoom (Computational Science in Metrology)