Accurate delineation of object borders is highly desirable in echocardiography, especially the left ventricle. Among other model-based techniques, active contours (or snakes) provide a unique and powerful approach to image analysis. In this work, we propose the use of a novel external energy for a gradient vector flow (GVF) snake. This energy consists of optical flow estimates of heart sequence...

Deformable models are used extensively in image processing, computer vision, and medical imaging applications, particularly to delineate object boundaries. Problems associated with initialization and poor convergence to boundary concavities, however, have limited their utility. This chapter presents an external force for deformable models, largely solving both problems. This external force, whi...

This paper presents a low-pressure experimental validation of two-phase transient pipeline flow model. Measured pressure and rate data are collected for slug froth patterns at the low 6 bar National University Singapore Multiphase Flow Loop facility. The analyzed low-dimensional model proposed in comprises steady-state multiphase series with linear dynamic capturing transients. is based on diss...

Face segmentation is one of the most important tasks in Model Based Video coding for Video Telephony and Video Conferencing applications. Since the face movement is usually different from the back ground movement, gradient of the optical flow field gives useful hints for the region of the image frame containing human face. In this work we have used a modified GVF-Snake (Gradient Vector Flow-Sna...

A new method is proposed for improving microarray spot segmentation for gene quantification. The method introduces a novel combination of three image processing stages, applied locally to each spot image: i/ Fuzzy C-Means unsupervised clustering, for automatic spot background noise estimation, ii/ power spectrum deconvolution filter design, employing background noise information, for spot image...

Medical image segmentation is one of the key technologies in computer aided diagnosis. Due to the complexity and diversity of medical images, the wavelet multi-scale analysis is introduced into GVF (gradient vector flow) snake model. The modulus values of each scale and phase angle values are calculated using wavelet transform, and the local maximum points of modulus values, which are the conto...

We present an active surface model designed for the segmentation of Drosophila Schneider cell nuclei and nucleoli from wide-field microscopic data. The imaging technique as well as the biological application impose some major challenges to the segmentation. On the one hand, we have to deal with strong blurring of the 3D data, especially in z-direction. On the other hand, concerning the biologic...

In recent years, gradient vector flow (GVF) based algorithms have been successfully used to segment a variety of 2-D and 3-D imagery. However, due to the compromise of internal and external energy forces within the resulting partial differential equations, these methods may lead to biased segmentation results. In this paper, we propose MSGVF, a mean shift based GVF segmentation algorithm that c...