Name
Title | ||
|---|---|---|
Evaluation of Symmetry Enhanced Sliding Band Filter for Plant Cell Nuclei Detection in Low Contrast Noisy Fluorescent Images |
Abstract | ||
|---|---|---|
The study of cell nuclei is fundamental for plant cell Biology research. To obtain information at cellular level, researchers image cells' nuclei which were modified with fluorescence proteins, through laser scanning confocal microscopy. These images are normally noisy and suffer from high background fluorescence, making grey-scale segmentation approaches inadequate for a usable detection. To obtain a successful detection even at low contrast we investigate the use of a particular convergence filter, the Symmetric Sliding Band filter (SSBF), for cell detection. This filter is based on gradient convergence and not intensity. As such it can detect low contrast cell nuclei which otherwise would be lost in the background noise. Due to the characteristics of cell nuclei morphology, a symmetry constrain is integrated in the filter which corrects some inadequate detections and results in a filter response that is more discriminative. We evaluate the use of this filter for cell nuclei detection on the Arabidopsis thaliana root tip, where the nuclei were stained using yellow fluorescence protein. The resulting cell nuclei detection precision is 89%. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02611-9_81 | ICIAR |
Keywords | Field | DocType |
resulting cell nuclei detection,plant cell nuclei detection,cell detection,cell nucleus,plant cell biology research,cell nuclei morphology,low contrast cell nucleus,filter response,cell nuclei detection,low contrast noisy fluorescent,symmetric sliding band filter,symmetry enhanced sliding band,researchers image cell,laser scanning confocal microscopy,fluorescence imaging,cell biology | Computer vision,Background noise,Segmentation,Computer science,Plant cell,Fluorescence,Artificial intelligence,Confocal laser scanning microscopy | Conference |
Volume | ISSN | Citations |
5627 | 0302-9743 | 6 |
PageRank | References | Authors |
0.55 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Monica Marcuzzo | 1 | 81 | 5.53 |
| Pedro Quelhas | 2 | 261 | 21.51 |
| Ana Maria Mendonça | 3 | 661 | 43.86 |
| Aurélio J. C. Campilho | 4 | 321 | 40.49 |