Output details
11 - Computer Science and Informatics
University of York
Article title
A Detailed Investigation into Low-Level Feature Detection in Spectrogram Images
Type
D - Journal article
Title of journal
Pattern Recognition
Article number
-
Volume number
44
Issue number
9
First page of article
2076
ISSN of journal
0031-3203
Year of publication
2011
Number of additional authors
1
Additional information
<23>This tackled a particularly hard problem that has been followed up by Govermment sponsors, and has been made available to the academic community. Software has been made available online, with about 200 downloads. https://code.google.com/p/stdetect/ This work has been further developed and has been successfully applied outside its original domain, in areas including analysis of EEG recording and monitoring of geomorphological features (Stumpf et al, “Image-based mapping of surface fissures for the investigation of landslide dynamics”, Geomorphology, 186, pp12-27, ISSN 0169-555X, doi:10.1016/j.geomorph.2012.12.010.)
Interdisciplinary
-
Cross-referral requested
-
Research group
E - Advanced Computer Architectures
Citation count
5
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
