Output details
15 - General Engineering
University of Huddersfield
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Output 0 of 0 in the submission
Article title
Linear feature extraction based on complex ridgelet transform
Type
D - Journal article
Title of journal
Wear
Article number
-
Volume number
264
Issue number
5-6
First page of article
428
ISSN of journal
0043-1648
Year of publication
2008
Number of additional authors
3
Additional information
The work of this paper is part of the EPSRC funded project (GR/S13316/01) has rated as “Outstanding”. The research developed methodologies based on ridglet transforms to extract topographical features form surface data. The work can be applied to surface topography data or any transient signals for extraction of specific events. This work has also been applied in forensic science, especially for ballistic analysis, which helps analysis the important information left on the bullet surface from the crime scene it has formed part of the patent No 09772841.4; Surface Analysis System.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
