Medical Image Segmentation Based on Wavelet Analysis and Gradient Vector Flow
نویسندگان
چکیده
منابع مشابه
Medical Image Segmentation Based on Wavelet Analysis and Gradient Vector Flow
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...
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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...
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Infrared image segmentation is a challenging topic because infrared images are characterized by high noise, low contrast, and weak edges. Active contour models, especially gradient vector flow, have several advantages in terms of infrared image segmentation. However, the GVF (Gradient Vector Flow) model also has some drawbacks including a dilemma between noise smoothing and weak edge protection...
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ژورنال
عنوان ژورنال: Journal of Software Engineering and Applications
سال: 2014
ISSN: 1945-3116,1945-3124
DOI: 10.4236/jsea.2014.712089