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This paper proposes a segmentation method of 2D image sequence based on active contour or snake. We define energy functional of active contour for detecting object in first frame of sequence. Then, the final snake is used as initial snake in the next frame. Our idea of tracking object is achieved by change of energy functional. Therefore, we substitute balloon energy of first energy functional by...
We present an approach for tracking a moving object based on range information in stereoscopic temporal imagery. Range information is filtered by the proposed dynamic scheme to improve the quality of active contour segmentation, and to better estimate the global motion of the object. Region-based active contours using Bhattacharyya gradient flow is exploited due to its robustness to noise of a cluttered...
In this paper we address the problem of recovering object contour in infrared video sequences using active contours and level set methods. We propose an approach for variational segmentation of infrared images containing non-rigid, moving objects. The local regions-of-interest (ROIs) are identified firstly using statistical background-subtraction method. While the initialization of background model...
This paper presents an automated method for actin filament segmentation and tracking for measuring tip elongation rates in total internal reflection fluorescence microscopy (TIRFM) images. The main contributions of the paper are: (i) we use a novel open active contour model for filament segmentation and tracking, which is fast and robust against noise; and (ii) different strategies are proposed to...
In the present work, a robust algorithm for automatic identification and segmentation of heart portion from cardiac Magnetic Resonance video Image (MRI) is presented. At first, an outline has been generated to get the region of interest (ROI) by employing the moving object criterion, which eventually reduces the processing time significantly. In the next step, Expectation Maximization (EM) algorithm...
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