Surface Image Reconstruction for the Comet Assay Technique
| Autor: | Luigi Pinca, Giampaolo Sanchini, Ivan Gerace, Patrizia Pucci |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2008 |
| Předmět: |
Surface (mathematics)
GNC Algorithm business.industry Image Processing Image processing Iterative reconstruction Function (mathematics) Comet Assay Technique Image (mathematics) Comet assay Control and Systems Engineering Computer vision Comet (programming language) Artificial intelligence Electrical and Electronic Engineering business Algorithm Energy (signal processing) Mathematics |
| Popis: | The purpose of this paper is to apply the well known Graduated Non-Convexity (GNC) algorithm, suitably modified, to the biological comet assay problem. This idea seems new. More precisely, the image is treated as a 3D surface and it is determined by the entries of three matrices. The image reconstruction problem is an ill-posed one, so a regularisation technique to solve it is necessary. The solution is so defined as the argument of the minimum of an energy function and is evaluated by a GNC algorithm. The goodness of this technique to estimate the length comet has been shown by some experimental results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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