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In this paper, we are interested to segment brain MR perfusion image using active contours or deformable models in order to assist in diagnosis. Traditional methods are often unable to perform adequately on these types of images which have poor contrast, high-level speckle noise and boundary gaps. For this purpose, we propose a Modified Fuzzy C Means method combined with the Adaptive Diffusion Flow...
Motivated by the need to develop a real-time computation method for simultaneous real-time visualization and force/torque feedback for manipulating of compliant mechanisms, this paper presents a general formulation of a reduced-order discrete state space model and its solution as a function of path lengths for a three-dimensional (3-D) curvature-based beam model (CBM). Unlike a compliant beam model...
In this paper, a new snake external force is proposed as the gradient of the image local energy diffusion potential. The local energy is computed using a bank of orthogonal log Gabor filters. The proposed Local Energy Diffusion Field (LEDF) is computed by energy diffusion Partial Differential Equation (PDE). The results of the LEDF snake were compared with the GVF snake in terms of capture range,...
Active contours are a well known segmentation toolkit and widely adopted in various forms for biological image analysis. Most techniques are commonly based on object geometry but overlapping regions cause severe problems to contour propagation. In this paper, we propose a novel active contour technique (“cellsnake”) for solving this problem with an application to cell and fibre segmentation. Given...
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