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This paper present a new method to resolve the problem of the estimation of eye position in the analysis of videonystagmography(VNG) sequences, that studies eye vibration using active contour model. An algorithm for horizontal and vertical nystagmus tracking based on some parameters such as position, amplitude and duration, is presented. Indeed, the algorithm uses active contour method to segment...
Intense current research requires quantitative analysis of cell behaviours in dense cell populations. The low contrast cellular image quality, diversity of cell shapes, frequent cell interactions, and complex cell motions all pose significant problems to the efficient and robust cell tracking in phase contrast cellular images. We have proposed an automated cell tracking system based on active contours...
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...
Active contours or snakes are widely used for segmentation and tracking. The ability of a snake to track an object depends on the movement of the object. If the object moves too far from one frame to another, the snake risks losing the true contour location. The subsequent evolution steps are negatively affected, reporting a false contour that can propagate to other frames. To overcome this problem...
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