A New Algorithm For Cell Tracking Technique

Abstract

Tracking cell mobility analysis is essential process in many biology studies. Accurate and sensitive cell tracking system is essential to cell motility studies. To improve the overall living cells tracking systems performance and improve the accuracy, we focused on developing a novel algorithm 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. First we apply the Topological Alignments and then transformed the output into the input of the active contour model to begin the analysis to the cells boundaries and determine the cells mobility. The results demonstrate that the proposed algorithm achieve 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, also the ability of the system to improve the low contrast, under and over segmentation.