Detection of non-uniform multi-body motion in image time-series using saccades-enhanced phase correlation

Evgeny Gladilin; Roland Eils

doi:10.1117/12.811120

27 March 2009 Detection of non-uniform multi-body motion in image time-series using saccades-enhanced phase correlation

Evgeny Gladilin, Roland Eils

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72592D (2009) https://doi.org/10.1117/12.811120
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Unsupervised analysis of time-series of live-cell images is one of the important tools of quantitative biology. Due to permanent cell motility or displacements of subcellular structures, microscopic images exhibit intrinsic non-uniform motion. In this article, we present a novel approach for detection of non-uniform multi-body motion which is based on combination of the Fourier-phase correlation with iterative probing target and background image regions similar to the strategy known from saccadic eye movements. We derive theoretical expressions that yield plausible explanation why this strategy turns out to be advantageous for tracking particular image pattern. Our experiments with synthetic and live-cell images demonstrate that the proposed approach is capable of accurately detecting non-uniform motion in synthetic and live-cell images.

Citation Download Citation

Evgeny Gladilin and Roland Eils "Detection of non-uniform multi-body motion in image time-series using saccades-enhanced phase correlation", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72592D (27 March 2009); https://doi.org/10.1117/12.811120

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