文章基本信息

标题：Intelligent Algorithms for Cell Tracking and Image Segmentation
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作者：Ashraf A. Aly ; Safaai Bin Deris ; Nazar Zaki 等
期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2014
卷号：6
期号：5
页码：21
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Sensitive and accurate cell tracking system is important to cell motility studies. Recently, researchers havedeveloped several methods for detecting and tracking the living cells. To improve the living cells trackingsystems performance and accuracy, we focused on developing a novel technique for image processing. Thealgorithm we propose presents novel image segmentation and tracking system technique to incorporate theadvantages of both Topological Alignments and snakes for more accurate tracking approach. The resultsdemonstrate that the proposed algorithm achieves accurate tracking for detecting and analyzing themobility of the living cells. The RMSE between the manual and the computed displacement was less than12% on average. Where the Active Contour method gave a velocity RMSE of less than 11%, improves toless than 8% by using the novel Algorithm. We have achieved better tracking and detecting for the cells,also the ability of the system to improve the low contrast, under and over segmentation which is the mostcell tracking challenge problems and responsible for lacking accuracy in cell tracking techniques.
关键词：Cell tracking; segmentation enhancement; Active Contour; Topological Alignments.