3-D aggregated object detection and labeling from multivariate confocal microscopy images: A model validation approach

Abstract

One essential assumption used in object detection and labeling by imaging is that the photometric properties of the object are homogeneous. This homogeneousness requirement is often violated in microscopy imaging. Classical methods are usually of high computational cost and fail to give a stable solution. This paper presents a low computational complexity… (More)
DOI: 10.1109/TSMCB.2003.814306

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@article{Wang20033DAO, title={3-D aggregated object detection and labeling from multivariate confocal microscopy images: A model validation approach}, author={Juhui Wang and Alain Trubuil and Christine Graffigne and Bertrand Kaeffer}, journal={IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society}, year={2003}, volume={33 4}, pages={572-81} }