Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Strathclyde
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Article title
A new design tool for feature extraction in noisy images based on grayscale hit-or-miss transforms
Type
D - Journal article
Title of journal
IEEE Transactions on Image Processing
Article number
-
Volume number
20
Issue number
7
First page of article
1938
ISSN of journal
1057-7149
Year of publication
2011
URL
-
Number of additional authors
1
Additional information
This paper presents an advance in the practical application of mathematical morphology. The paper introduces a new approach to achieving robustness to image noise and the research has also resulted in an integrated software design tool to measure the noise characteristics and set the optimum morphology parameters, as well as determining the optimum values of design parameters for alternative approaches. It is now in use at the leading Institute for Systems Biology (ISB) in Seattle, USA to detect cancer cells, [Professor Shmulevich, ilya.shmulevich@systemsbiology.org] following an exchange by Strathclyde researcher [paul.murray@strath.ac.uk].
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Centre for Excellence in Signal and Image Processing (CeSIP)
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
