Computational Modeling of Objects Presented in Images

The image sequences elaboration, which represent our main topic, concerns the identification of contours of an object for segmentation and study of its movement over time. A newer dynamic approach to the well-known static variational method for the time-series medical echocardiographic images is presented, and a graphic software applications for synchronization between cardiac movement and electric signals (ECG) are developed. Many approaches have been proposed to process time-series of digital images, and it is difficult establish the most effective one. Here we focus on PDE-based and variational methods. The first is based on snake model for image segmentation and the second by Mumford-Shah (M-S) Functional minimization for image enhancing and a new dinamic approach for movie processing.