Active contour method is widely used in the image processing field. Recently, it has been used in object segmentation and has attracted great attention. However, most of the existing object segmentation methods based on active contours are complex and time-consuming. They cannot be used in some real-time applications. Hence, in this paper, a fast and efficient moving object segmentation algorit...

Active contours or snakes are widely used for segmentation and tracking. Recently a new active contour model was proposed, combining edge and region information. The method has a convex energy function, thus becoming invariant to the initialization of the active contour. This method is promising, but has no regularization term. Therefore segmentation results of this method are highly dependent ...

In image processing, deformable models known as active contours have been used extensively to locate object boundaries in images. In this thesis, we combine concepts from two active contour methods, energy-minimizing snake active contours and charged active contours based on electrostatics to segment cells in images of human epidermal cell cultures. The first method uses energy minimization and...

Active contour models are widely used for image segmentation. In this paper the study of various active contour models based on Chan-Vese approach is given. Partial differential equation based method widely used on real and artificial noisy images with different shapes and blurring boundaries and energy minimization has been achieved. The possibilities of extracting exact contour using these me...

Deformable active contours are widely used in computer vision and image processing applications for image segmentation, especially in biomedical image analysis. The active contour or “snake” deforms towards a target object by controlling the internal, image and constraint forces. However, if the contour initialized with a lesser number of control points, there is a high probability of surpassin...

The active contour is an effective method to perform image segmentation. But its key technology problem is, both the establishment of a mathematic model and the development of the calculating algorithm are excessively dependent on the initial contour position. In dynamic image analysis, the difference method and the fast template matching algorithm provide available solutions for dealing with t...

In this paper, a new approach for segmentation of sartorius muscle (M. sar.) with the tendon attachment sites (TAS) from 3D Magnetic Resonance (MR) Images is presented. The segmented muscle is used in a human gait modeling software. By means of the modeling, the cause of gait pathologies could be diagnosed. In this approach, three Active Shape Models (ASM) are employed. Two of them are 2D model...

In this paper, we propose a new method for fast and effective image segmentation using snakes (active contours). This method incorporates the active contour models with the wavelet transform features using directional edges in high and low frequency content sub-images. The proposed method takes advantages of these features to improve the boundary attraction process in active contour models. It ...

PURPOSE To overcome the severe intensity inhomogeneity and blurry boundaries in HIFU (High Intensity Focused Ultrasound) ultrasound images, an accurate and efficient multi-scale and shape constrained localized region-based active contour model (MSLCV), was developed to accurately and efficiently segment the target region in HIFU ultrasound images of uterine fibroids. METHODS We incorporated a...

Nerve capillary images have a complex textured appearance, which makes segmentation difficult. Detection of region boundaries using Active Contour Models has proved impractical due to the existence of confusing image evidence in the vicinity of these boundaries. Despite the fact that the shapes have no identifying landmarks, we show that an Active Shape Model combined with genetic search can pr...