Image segmentation based on Frequency domain operation (FFT) and plugin implementation for ImageJ

Abstract

Event Abstract Back to Event Image segmentation based on Frequency domain operation (FFT) and plugin implementation for ImageJ Víctor J. García Fernández1* and Dimiter Prodanov2 1 IMEC, Belgium 2 IMEC, EHS, Belgium In order to better measure cell’s response to different chemical or mechanical stimuli robust quantification of the cell spatio-temporal organization is required. Accurate identification of individual cellular phenotypes can be obtained by combining automated microscopic acquisition with extensive morphological feature extraction and data mining strategies. The aim of the present work is to implement filter banks allowing for measurement of scale-invariant features which will be used for downstream image classification operations. A generic way of segmenting images is by using multi-scale approaches, such as wavelet filter banks or scale spaces. Fourier domain filtering encodes image information in a distributed manner that allows manipulation of the global information content of the image scaling the performance of such filtering operations. The poster and the software demo will present a generic framework for Fourier domain filtering made available as a plugin to the popular public domain image processing software ImageJ. Filter implementations include Gaussian, Laplacian of Gaussian and Fractional Laplacian operators. We could successfully apply this plugin for example in segmentation of histological images. Acknowledgements The work has been supported in part by a grant from Research Fund - Flanders (FWO), contract number 0880.212.840. References Prodanov D (2013). Open source image analysis software toolboxes for microscopic applications. Front. Neuroinform. Conference Abstract: Imaging the brain at different scales: How to integrate multi-scale structural information?. doi: 10.3389/conf.fninf.2013.10.00005 Lindeberg, T. (1994). Scale-space theory: A basic tool for analysing structures at different scales. J App Stat. 21 (2): 224–270. Mols K, Prodanov D and Bonin V (2013). Scale-space based segmentation of cells in functional two-photon in vivo images. Front. Neuroinform. Conference Abstract: Imaging the brain at different scales: How to integrate multi-scale structural information?. doi: 10.3389/conf.fninf.2013.10.00033 Keywords: Image Processing, Computer-Assisted, FFT, filtering, Cell segmentation, ImageJ Conference: Second Belgian Neuroinformatics Congress, Leuven, Belgium, 4 Dec - 4 Dec, 2015. Presentation Type: Poster Presentation Topic: Brain Imaging Citation: García Fernández VJ and Prodanov D (2015). Image segmentation based on Frequency domain operation (FFT) and plugin implementation for ImageJ. Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress. doi: 10.3389/conf.fninf.2015.19.00010 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 31 Oct 2015; Published Online: 17 Nov 2015. * Correspondence: Mr. Víctor J García Fernández, IMEC, Leuven, Belgium, victorjgf@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Víctor J García Fernández Dimiter Prodanov Google Víctor J García Fernández Dimiter Prodanov Google Scholar Víctor J García Fernández Dimiter Prodanov PubMed Víctor J García Fernández Dimiter Prodanov Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.