Intelligent techniques for image segmentation in cell tracking and mobility analysis
Segmentation and tracking of cells is important step in cell motility studies. Over the past two decades, researchers have developed powerful methods for detecting and tracking the living cells. To improve the overall living cells tracking systems performance, we focused on developing a novel algori...
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| Format: | Book Section |
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IEEE
2011
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| _version_ | 1796856506006634496 |
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| author | Aly, A. A. Deris, Safaai Zaki, N. |
| author_facet | Aly, A. A. Deris, Safaai Zaki, N. |
| author_sort | Aly, A. A. |
| collection | ePrints |
| description | Segmentation and tracking of cells is important step in cell motility studies. Over the past two decades, researchers have developed powerful methods for detecting and tracking the living cells. To improve the overall living cells tracking systems performance, we focused on developing a novel algorithm for image processing. This paper presents novel image segmentation and tracking system technique to incorporate the advantages of both Topological Alignments and snakes. Where the initial segmentation by Topological Alignments is firstly transformed into the input of the snake model and begins its evolvement to the interested object boundary and analyzes the cells mobility. In our experiments, we compared our algorithm with traditional snake. The results demonstrate that the proposed algorithm achieves accurate tracking for detecting and analyzing the mobility of the living cells. Our results indicate better segmentation and more accurate tracking for detecting and analyzing the mobility of the living cells. We have achieved better tracking and detecting for the cells, also dealing with under and over segmentation. |
| first_indexed | 2024-03-05T18:43:58Z |
| format | Book Section |
| id | utm.eprints-29180 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:43:58Z |
| publishDate | 2011 |
| publisher | IEEE |
| record_format | dspace |
| spelling | utm.eprints-291802017-02-04T07:22:15Z http://eprints.utm.my/29180/ Intelligent techniques for image segmentation in cell tracking and mobility analysis Aly, A. A. Deris, Safaai Zaki, N. QA75 Electronic computers. Computer science Segmentation and tracking of cells is important step in cell motility studies. Over the past two decades, researchers have developed powerful methods for detecting and tracking the living cells. To improve the overall living cells tracking systems performance, we focused on developing a novel algorithm for image processing. This paper presents novel image segmentation and tracking system technique to incorporate the advantages of both Topological Alignments and snakes. Where the initial segmentation by Topological Alignments is firstly transformed into the input of the snake model and begins its evolvement to the interested object boundary and analyzes the cells mobility. In our experiments, we compared our algorithm with traditional snake. The results demonstrate that the proposed algorithm achieves accurate tracking for detecting and analyzing the mobility of the living cells. Our results indicate better segmentation and more accurate tracking for detecting and analyzing the mobility of the living cells. We have achieved better tracking and detecting for the cells, also dealing with under and over segmentation. IEEE 2011 Book Section PeerReviewed Aly, A. A. and Deris, Safaai and Zaki, N. (2011) Intelligent techniques for image segmentation in cell tracking and mobility analysis. In: 2011 International Conference on Innovations in Information Technology (IIT). IEEE, New Jersey, pp. 346-349. ISBN 978-145770314-0 http://dx.doi.org/10.1109/INNOVATIONS.2011.5893846 10.1109/INNOVATIONS.2011.5893846 |
| spellingShingle | QA75 Electronic computers. Computer science Aly, A. A. Deris, Safaai Zaki, N. Intelligent techniques for image segmentation in cell tracking and mobility analysis |
| title | Intelligent techniques for image segmentation in cell tracking and mobility analysis |
| title_full | Intelligent techniques for image segmentation in cell tracking and mobility analysis |
| title_fullStr | Intelligent techniques for image segmentation in cell tracking and mobility analysis |
| title_full_unstemmed | Intelligent techniques for image segmentation in cell tracking and mobility analysis |
| title_short | Intelligent techniques for image segmentation in cell tracking and mobility analysis |
| title_sort | intelligent techniques for image segmentation in cell tracking and mobility analysis |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT alyaa intelligenttechniquesforimagesegmentationincelltrackingandmobilityanalysis AT derissafaai intelligenttechniquesforimagesegmentationincelltrackingandmobilityanalysis AT zakin intelligenttechniquesforimagesegmentationincelltrackingandmobilityanalysis |