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Zaki, Nazar
- Intelligent Algorithms for Cell Tracking and Image Segmentation
Abstract Views :169 |
PDF Views:99
Authors
Affiliations
1 Information Technology Department, Al khawarizmi College, AE
2 University Technology Malaysia, MY
3 College of Information Technology, UAE University, AE
1 Information Technology Department, Al khawarizmi College, AE
2 University Technology Malaysia, MY
3 College of Information Technology, UAE University, AE
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 6, No 5 (2014), Pagination: 21-37Abstract
Sensitive and accurate cell tracking system is important to cell motility studies. Recently, researchers have developed several methods for detecting and tracking the living cells. To improve the living cells tracking systems performance and accuracy, we focused on developing a novel technique for image processing. The algorithm we propose presents novel image segmentation and tracking system technique to incorporate the advantages of both Topological Alignments and snakes for more accurate tracking approach. The results demonstrate that the proposed algorithm achieves accurate tracking for detecting and analyzing the mobility of the living cells. The RMSE between the manual and the computed displacement was less than 12% on average. Where the Active Contour method gave a velocity RMSE of less than 11%, improves to less 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 most cell tracking challenge problems and responsible for lacking accuracy in cell tracking techniques.Keywords
Cell Tracking, Segmentation Enhancement, Active Contour, Topological Alignments.- Research Review for Digital Image Segmentation Techniques
Abstract Views :302 |
PDF Views:252
Authors
Affiliations
1 Universiti Teknologi Malaysia, MY
2 College of Information Technology, UAE University, AE
1 Universiti Teknologi Malaysia, MY
2 College of Information Technology, UAE University, AE
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 3, No 5 (2011), Pagination: 99-106Abstract
Evaluating the previous work is an important part of developing segmentation methods for the image analysis techniques. The aim of this paper is to give a review of digital image segmentation techniques. The problems of digital image segmentation represent great challenges for computer vision. The wide range of the problems of computer vision may make good use of image segmentation. This paper study and evaluate the different methods for segmentation techniques. We discuss the main tendency of each algorithm with their applications, advantages and disadvantages. This study is useful for determining the appropriate use of the image segmentation methods and for improving their accuracy and performance and also for the main objective, which designing new algorithms.Keywords
Active Contour, Segmentation Enhancement, Topological Alignments, Boundary Detection, Image Segmentation, Inversion Technique.- Detection of Masses in Digital Mammogram Using Second Order Statistics and Artificial Neural Network
Abstract Views :236 |
PDF Views:117
Authors
Affiliations
1 Universiti Teknologi Malaysia, MY
2 UAE University, AE
1 Universiti Teknologi Malaysia, MY
2 UAE University, AE