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Statistical region based active contour using a fractional entropy descriptor: Application to nuclei cell segmentation in confocal microscopy images
| Content Provider | Semantic Scholar |
|---|---|
| Author | Histace, Aymeric Meziou, Besma Matuszewski, Bogdan J. Precioso, Frédéric Murphy, Mark F. Carreiras, Franck |
| Copyright Year | 2013 |
| Abstract | We propose an unsupervised statistical region based active contour approach integrating an original fractional entropy measure for image segmentation with a particular application to single channel actin tagged fluorescence confocal microscopy image segmentation. Following description of statistical based active contour segmentation and the mathematical definition of the proposed fractional entropy descriptor, we demonstrate comparative segmentation results between the proposed approach and standard Shannon’s entropy on synthetic and natural images. We also show that the proposed unsupervised statistical based approach, integrating the fractional entropy measure, leads to very satisfactory segmentation of the cell nuclei from which shape characterization can be calculated. |
| Starting Page | 1 |
| Ending Page | 15 |
| Page Count | 15 |
| File Format | PDF HTM / HTML |
| Volume Number | 2013 |
| Alternate Webpage(s) | https://hal.archives-ouvertes.fr/hal-00817583/document |
| Alternate Webpage(s) | http://www.bmva.org/annals/2013/2013-0005.pdf |
| Alternate Webpage(s) | http://clok.uclan.ac.uk/14548/1/14548_2013-0005.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
