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Knowledge Extraction for High-Throughput Biological Imaging

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3 Author(s)
Ahmed, W.M. ; Purdue Univ., West Lafayette ; Ghafoor, A. ; Robinson, J.Paul

We present a multilayered architecture and spatiotemporal models for searching, retrieving, and analyzing high-throughput biological imaging data. The analysis is divided into low-and high-level processing. At the lower level, we address issues like segmentation, tracking, and object recognition, and at the high level, we use finite state machine-and Petri-net-based models for spatiotemporal event recognition.

Published in:

MultiMedia, IEEE  (Volume:14 ,  Issue: 4 )