A New Approach for Cell Detection and Tracking
In recent years, cell tracking methods by detection have become more and more popular because they outperformed cell tracking methods by contour evolution in most practical cell tracking applications. Yet, the most frequently used segmentation technique by cell detection methods is still threshold s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8769977/ |
| _version_ | 1828735903646875648 |
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| author | ZhenZhou Wang Liju Yin Zihao Wang |
| author_facet | ZhenZhou Wang Liju Yin Zihao Wang |
| author_sort | ZhenZhou Wang |
| collection | DOAJ |
| description | In recent years, cell tracking methods by detection have become more and more popular because they outperformed cell tracking methods by contour evolution in most practical cell tracking applications. Yet, the most frequently used segmentation technique by cell detection methods is still threshold selection that is determined manually or by algorithms proposed in the 1970s. As a whole, these old threshold selection methods could not meet the accuracy requirement of cell detection adequately. In this paper, we propose a new approach of cell tracking by detection based on a multiple-threshold segmentation method that calculates multiple thresholds automatically and robustly. After cell detection, the proposed approach generates the timeline moving trajectory of a cell by connecting the cell positions along the time lapse image sequences based on morphological operations. We use four types of cells to verify the effectiveness of the proposed approach and the experimental results are favorable. |
| first_indexed | 2024-04-12T23:15:38Z |
| format | Article |
| id | doaj.art-00e402adfdde48d09c5e3aba60758c07 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-12T23:15:38Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-00e402adfdde48d09c5e3aba60758c072022-12-22T03:12:41ZengIEEEIEEE Access2169-35362019-01-017998899989910.1109/ACCESS.2019.29305398769977A New Approach for Cell Detection and TrackingZhenZhou Wang0https://orcid.org/0000-0003-0556-6305Liju Yin1Zihao Wang2College of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, ChinaCollege of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, ChinaCollege of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, ChinaIn recent years, cell tracking methods by detection have become more and more popular because they outperformed cell tracking methods by contour evolution in most practical cell tracking applications. Yet, the most frequently used segmentation technique by cell detection methods is still threshold selection that is determined manually or by algorithms proposed in the 1970s. As a whole, these old threshold selection methods could not meet the accuracy requirement of cell detection adequately. In this paper, we propose a new approach of cell tracking by detection based on a multiple-threshold segmentation method that calculates multiple thresholds automatically and robustly. After cell detection, the proposed approach generates the timeline moving trajectory of a cell by connecting the cell positions along the time lapse image sequences based on morphological operations. We use four types of cells to verify the effectiveness of the proposed approach and the experimental results are favorable.https://ieeexplore.ieee.org/document/8769977/Threshold selectionimage segmentationcell segmentationcell detectioncell tracking |
| spellingShingle | ZhenZhou Wang Liju Yin Zihao Wang A New Approach for Cell Detection and Tracking IEEE Access Threshold selection image segmentation cell segmentation cell detection cell tracking |
| title | A New Approach for Cell Detection and Tracking |
| title_full | A New Approach for Cell Detection and Tracking |
| title_fullStr | A New Approach for Cell Detection and Tracking |
| title_full_unstemmed | A New Approach for Cell Detection and Tracking |
| title_short | A New Approach for Cell Detection and Tracking |
| title_sort | new approach for cell detection and tracking |
| topic | Threshold selection image segmentation cell segmentation cell detection cell tracking |
| url | https://ieeexplore.ieee.org/document/8769977/ |
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