Medical Image Segmentation with Improved Gradient Vector Flow
نویسندگان
چکیده
In this study, we discover some deficiencies of GVF and GGVF Snake such as it can not capture boundaries like “U” and “S” completely because of the counteraction of some external forces and the influence of the local minimum external forces. Based on analyzing force distribution rules of gradient vector flow, a standard is introduced to distinguish every control point is true or false. An additional control force is added to GVF Snake model. The direction of control force is gained by tracking the force field and the motion of snake control points. Experimentation proves that the new GVF Snake model can solve the problem that GVF and GGVF Snake model can not detect the boundaries like “U” and “S” and the new algorithm can improve GVF snake model’s ability to capture thin boundary indentation like the boundary of brain image.
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...
متن کاملMean Shifting Gradient Vector Flow: An Improved External Force Field for Active Surfaces in Widefield Microscopy
Gradient vector flow based snakes are a very common method in biomedical image segmentation. The use of gradient vector flow herein brings some major advantages like a large capture range to strong gradients and a good adaption of the snakes in concave regions. In some cases though, the application of gradient vector flow can also have undesired effects, e.g. if only parts of an image are stron...
متن کاملA Hybrid Segmentation Model based on Watershed and Gradient Vector Flow for the Detection of Brain Tumor
Medical Image segmentation deals with segmentation of tumor in CT and MR images for improved quality in medical diagnosis. Geometric Vector Flow (GVF) enhances the concave object extraction capability. However, it suffers from high computational requirement and sensitiveness to noise. This paper intends to combine watershed algorithm with GVF snake model to reduce the computational complexity, ...
متن کاملMulti-atlas segmentation with augmented features for cardiac MR images
Multi-atlas segmentation infers the target image segmentation by combining prior anatomical knowledge encoded in multiple atlases. It has been quite successfully applied to medical image segmentation in the recent years, resulting in highly accurate and robust segmentation for many anatomical structures. However, to guide the label fusion process, most existing multi-atlas segmentation methods ...
متن کاملA Novel Gradient Vector Flow Snake Model Based on Convex Function for Infrared Image Segmentation
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...
متن کامل