Difference between revisions of "JRA/objective1/task1"

Revision as of 17:25, 25 July 2014

Task 1: 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.

Subtask 1: Development of software for identifying, and potentially cropping, single specimens in a multi-specimen item

This will include drawers and slides. May investigate use of centroids, cropping. Partners to send examples to NHM for testing a wide range of images. The tool should be open access. Manual editing should be possible. A future workplan should form part of the report.

Subtask 2: Review of tools to select regions of interest in individual specimens to identify different labels, particularly to help with Task 1.2.

This will investigate identifying regions of interest in preparation of images for OCR, to feed into Task 1.2 and Obj. 3.

Participants: Jörg Holetschek (BGBM), Elspeth Haston (RBGE), Sarah Philips (RBGK)

Aims of Subtask

1. To enable categorisation of sheets by collectors, country etc to make workflows more efficient

2. To find the most suitable and effective image viewers for a user interface