Medical Imaging Technology
Online ISSN : 2185-3193
Print ISSN : 0288-450X
Main Topics / Bioimaging
Particle Detection and Tracking in Intracelluar Images
Kazuhiro HOTTA
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Volume 33 (2015) Issue 3 Pages 90-96

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Abstract

We describe the particle detection and tracking methods in intracellular images. Two kinds of particle detection methods are introduced when we have many and less supervised data. When we have small number of supervised data, the detection accuracy is improved by using contextual information of a particle. In particle tracking, we use posterior probability of SIFT features. We improve the tracking accuracy by considering the possibility of mis-tracking.

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© 2015 The Japanese Society of Medical Imaging Technology
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