@inproceedings{a6950204edb34c98a1ae15dc529a7b69,
title = "An improved 3D edge surface tracking algorithm based on 3D fractional-order differentiation within confocal microscopy images",
abstract = "Fractional-order differentiation enhances the image nonlinearly, but only has been applied in the 2D image. The 2D fractional differentiation operator is extended to 3D and the 3D fractional differentiation discrete filtering masks are deduced. The 3D fractional differentiation is implemented to improve the traditional 3D image edge surface tracking algorithm in two aspects. Firstly, the 3D data fields of neuron slices are enhanced by the 3D fractional differentiation, ensures more detailed structures of edge surfaces with low contrast are extracted. Then integral-order gradient is modified by the fractional differentiation to get more 3D detailed structures. The proposed method has been applied to 3D confocal microscopy images, and more 3D detail structures of neuron are tracked compared to the traditional 3D edge surface tracking algorithm.",
keywords = "3D edge surface tracking algorithm, Confocal microscopy image, Fractional-order differentiation, Image enhancement, Neuron",
author = "Yu Ma and Yanning Zhang and Lisheng Wang",
year = "2013",
doi = "10.1007/978-3-642-42057-3_63",
language = "英语",
isbn = "9783642420566",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "497--504",
booktitle = "Intelligence Science and Big Data Engineering - 4th International Conference, IScIDE 2013, Revised Selected Papers",
note = "4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013 ; Conference date: 31-07-2013 Through 02-08-2013",
}