Title :
Knowledge Extraction for High-Throughput Biological Imaging
Author :
Ahmed, Wamiq M. ; Ghafoor, Arif ; Robinson, J.Paul
Author_Institution :
Purdue Univ., West Lafayette
Abstract :
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.
Keywords :
Petri nets; biomedical imaging; finite state machines; image recognition; image segmentation; knowledge acquisition; Petri-net-based models; biological imaging; data analyzing; data retrieving; finite state machine; knowledge extraction; object recognition; spatiotemporal event recognition; spatiotemporal models; Biological system modeling; Clustering algorithms; Data analysis; Data mining; Drugs; Fluorescence; Image segmentation; Multimedia systems; Object recognition; Videos; Spatiotemporal modeling; and image understanding.; high-content screening; high-throughput imaging; semantic analysis;
Journal_Title :
MultiMedia, IEEE
DOI :
10.1109/MMUL.2007.77
