Correction to "MAC: Magnetostatic Active Contour Model"
نویسندگان
چکیده
منابع مشابه
Medical Image Segmentation Using Magnetostatic Active Contours (MAC) with Tensor Diffusion
In medical imagery, traditional deformable models often face substantial challenges due to fine structures and image complexity. Recently, based on magnetostatic theory, a new deformable model, namely MAC, is proposed for improving the ability of the active contour in dealing with complex geometries and segmentation difficulties. A Laplacian diffusion scheme is proposed in the MAC model to tack...
متن کاملMagnetostatic Field for the Active Contour Model: A Study in Convergence
A new external velocity field for active contours is proposed. The velocity field is based on magnetostatics and hypothesised magnetic interactions between the active contour and image gradients. In this paper, we introduce the method and study its convergence capability for the recovery of shapes with complex topology and geometry, including deep, narrow concavities. The proposed active contou...
متن کاملImproved Algorithm for Gradient Vector Flow Based Active Contour Model Using Global and Local Information
Active contour models are used to extract object boundary from digital image, but there is poor convergence for the targets with deep concavities. We proposed an improved approach based on existing gradient vector flow methods. Main contributions of this paper are a new algorithm to determine the false part of active contour with higher accuracy from the global force of gradient vector flow and...
متن کاملA Method for Lung Boundary Correction Using Split Bregman Method and Geometric Active Contour Model
In order to get the extracted lung region from CT images more accurately, a model that contains lung region extraction and edge boundary correction is proposed. Firstly, a new edge detection function is presented with the help of the classic structure tensor theory. Secondly, the initial lung mask is automatically extracted by an improved active contour model which combines the global intensity...
متن کاملA Local Active Contour Model for Image Segmentation with Intensity Inhomogeneity
A novel locally statistical active contour model (ACM) for image segmentation in the presence of intensity inhomogeneity is presented in this paper. The inhomogeneous objects are modeled as Gaussian distributions of different means and variances, and a moving window is used to map the original image into another domain, where the intensity distributions of inhomogeneous objects are still Gaussi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IEEE Trans. Pattern Anal. Mach. Intell.
دوره 30 شماره
صفحات -
تاریخ انتشار 2008