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13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Strathclyde
A new design tool for feature extraction in noisy images based on grayscale hit-or-miss transforms
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].