An active contour based tracking framework is described that generates and integrates dynamic shape information without having to learn a priori shape constraints. This dynamic shape information is combined with dynamic photometric foreground model matching and background mismatching. Boundary based optical flow is also used to estimate the location of the object in each new frame, incorporatin...

A new method for the application of active contours to biomedical images is described. The new approach, which involves extensive modification of the internal energy function and a different method of minimising the energy functional, yields rapid, excellent fits to MR images.

Active Contour (or Snake) Model is recognized as one of the efficient tools for 2D/3D image segmentation. However, traditional snake models prove to be limited in several aspects. The present paper describes a set of diffusion equations applied to image gradient vectors, yielding a vector field over the image domain. The obtained vector field provides the Snake Model an external force as well a...

In this study, we present a new multi-band image representation for improving AAM segmentation accuracy for illumination invariant face alignment. AAM is known to be very sensitive to the illumination variations. We have shown that edges, originating from object boundaries are far less susceptible to illumination changes. Here, we propose a contour selector which mostly collects contours origin...

The active contour/snake model [9, 2, 10] is one of the most wellknown segmentation variational models in image processing. However this model suffers from the existence of local minima which makes the initial guess critical for getting satisfactory results. In this paper, we propose to solve this problem by finding global minimizers of the active contour model following the original work of Ch...

problems about polyominoes have been discussed. \Ve introduce new one: Determine the smallest size fen) of cut-set C(n) of n-ominoes, such that every sufficiently polyomino contains at one n-omino C(n) a partial polyomino. This question may be of interest in biology or pharmacy, for ex:arrlpl IC, if every infinite cell of polyominoes can be avoided the control of all nominoes for fixed n then i...

In this paper we apply a new data driven 3D prediction step for active contour models to car tracking on highways. The so called 3D bounding volume (BV) is a coarse 3D representation of a moving object, for which the 2D contour in the image plane has been extracted and tracked by active contours. By calculating the BV's shape and location in 3D an estimation of the object's motion is possible. ...

The most difficult procedure of image processing [3] is the task of image segmentation. The popular but well-motivated opinion is that medical images are particularly hard to analyze [1]. One of the most promising methods of image segmentation is the active contour approach [2,4,5,7-11]. Originally, active contour methods were developed as tools for low-level image segmentation but with the abi...

Extraction and reconstruction of rectal wall structures from an ultrasound image is helpful for surgeons in rectal clinical diagnosis and 3-D reconstruction of rectal structures from ultrasound images. The primary task is to extract the boundary of the muscular layers on the rectal wall. However, due to the low SNR from ultrasound imaging and the thin muscular layer structure of the rectum, thi...

When a Chan-Vese active contour model is implemented in a framework that does not solve partial differential equations, we show how the mean pixel intensity inside and outside the curve can be updated efficiently. We reduce each iteration of the Chan-Vese active contour by O(n), when compared to an approach whereby the mean pixel intensities are recalculated for each iteration by looping over t...