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15 - General Engineering

University of Central Lancashire

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Output 44 of 49 in the submission

Article title

Statistical Model of Shape Moments with Active Contour Evolution for Shape Detection and Segmentation

Type

D - Journal article

DOI

10.1007/s10851-013-0416-9

Title of journal

Journal of Mathematical Imaging and Vision

Article number

Volume number

Issue number

1-2

First page of article

ISSN of journal

0924-9907

Year of publication

2013

URL

http://clok.uclan.ac.uk/6876/

Number of additional authors

Additional information

This invited paper reports an outcome of the EPSRC project EP/D077540/1 and long-standing collaboration with CNRS Laboratories. The significance of the proposed method lies in its strong resilience to noise, essential in cell segmentation. The paper expands on work published at CAIP’2011. The work provided the case for the follow-on EPSRC grant EP/H024913/1, a special session on “Analysis of Microscopy and Reconstructive Images” at the ICIP’2011 and a new EPSRC proposal on Modelling effects of ionising radiation on cells (contact: Project PI, LJMU). The core software is publicly available and one of the most downloaded Matlab mathematical packages: http://www.mathworks.co.uk/matlabcentral/fileexchange/24998-2d3d-image-segmentation-toolbox

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract