In this paper, we consider saliency detection problems from a unique perspective. We provide an implicit representation for the saliency map using level set evolution (LSE), and then combine LSE approach with energy functional minimization (EFM). Instead of introducing sophisticated segmentation procedures, we propose a flexible and lightweight LSE-EFM framework for saliency detection. The expe...

In many applications it is necessary to track a moving and deforming boundary on the plane from infrequent, sparse measurements. For instance, each of a set of mobile observers may be able to tell the position of a point on the boundary. Often boundary components split, merge, appear, and disappear over time. Data are typically sparse and noisy and the underlying dynamics is uncertain. To addre...

Traditional texture mapping uses sampled images of limited resolution to represent patterns on surfaces. Sampling inherently assumes that the underlying pattern is band limited, which in plain language means that it must not contain any crisp edges. Unfortunately, most real world patterns violate that constraint, and the result is that texture mapped surfaces appear either artificially pixelate...

background access to appropriate images of fetal brain can greatly assist to diagnose of probable abnormalities. the aim of this study was to compare the suitability of t2-true fast imaging with steady state free precession (t2-trufi), and t2-half-fourier acquisition single-shot turbo spin-echo (t2- haste( magnetic resonance imaging (mri) to extract the fetal brain using the level set algorithm...