A Variation Level Set Formulation Local Based C-V Model for Medical Images Segmentation

Abstract:

Local image information is crucial for accurate segmentation of images with intensity inhomogeneity which usually occurs in medical images. However, image information in local region is not incorporated in popular region-based active contour models, such as piecewise constant models and piecewise smooth models. In this paper, a method which is able to use local information is proposed. The main point is the introduction of the local fitting information expressed by a kernel function which is crucial for segmentation. Our method is based on piecewise constant Chan-Vese model, and compare with different methods for several synthetic images and medical images.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 3696-3701
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.3696
• Online since: September 2013
• Authors: Yan Yu, Chao Bing Huang, Ling Li
• Keywords: C-V Model, GACM, Intensity Inhomogeneity, Mediccal Image Segmentation

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