Automatic processing (segmentation) of digital images

Output number: 
Output type: 

Automatic processing (segmentation) of digital images

Research and develop edge detection technology to locate and classify multiple regions of interest within images
of NH specimens. Using the principle that pixels in a segment are similar with respect to some characteristic or
computed property (e.g. colour, intensity, or texture), develop a method to semi-automatically detect, crop and
classify these regions of interest such that they can be subject to appropriate additional processing.

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Scratchpads developed and conceived by (alphabetical): Ed Baker, Katherine Bouton Alice Heaton Dimitris Koureas, Laurence Livermore, Dave Roberts, Simon Rycroft, Ben Scott, Vince Smith