A Huber-loss-driven clustering technique and its application to robust cell detection in confocal microscopy images

Pediredla, Adithya Kumar and Seelamantula, Chandra Sekhar (2011) A Huber-loss-driven clustering technique and its application to robust cell detection in confocal microscopy images. In: 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA), 4-6 Sept. 2011, Dubrovnik,Coratia.

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Abstract

We address the problem of detecting cells in biological images. The problem is important in many automated image analysis applications. We identify the problem as one of clustering and formulate it within the framework of robust estimation using loss functions. We show how suitable loss functions may be chosen based on a priori knowledge of the noise distribution. Specifically, in the context of biological images, since the measurement noise is not Gaussian, quadratic loss functions yield suboptimal results. We show that by incorporating the Huber loss function, cells can be detected robustly and accurately. To initialize the algorithm, we also propose a seed selection approach. Simulation results show that Huber loss exhibits better performance compared with some standard loss functions. We also provide experimental results on confocal images of yeast cells. The proposed technique exhibits good detection performance even when the signal-to-noise ratio is low.

Item Type:	Conference Proceedings
Publisher:	IEEE
Additional Information:	Copyright of this article belongs to IEEE.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	18 Apr 2013 07:06
Last Modified:	18 Apr 2013 07:06
URI:	http://eprints.iisc.ac.in/id/eprint/46223

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