Active Contour Models (ACMs) constitute a powerful energy-based minimization framework for image segmentation, based on the evolution of an active contour. Among ACMs, supervised ACMs are able to exploit the information extracted from supervised examples to guide the contour evolution. However, their applicability is limited by the accuracy of the probability models they use. As a consequence, ...

This paper introduces a method which provides robust tracking results and accurately segmented object boundaries in short computation time. The first step of the algorithm is to apply a novel edge detector on efficiently calculated color probability maps in an object-specific Fisher color space. The proposed edge detector exploits context information by finding the maximally stable boundaries o...

We propose a fully automated active contours-based method for the detection and the segmentation of a moored manufactured object in an underwater image. Detection of objects in underwater images is difficult due to the variable lighting conditions and shadows on the object. The proposed technique is based on the information contained in the color maps and uses the visual attention method, combi...

A novel contour-based matching criterion is presented for the quantitative docking of high-resolution structures of components into low-resolution maps of macromolecular complexes. The proposed Laplacian filter is combined with a six-dimensional search using fast Fourier transforms to rapidly scan the rigid-body degrees of freedom of a probe molecule relative to a fixed target density map. A co...

Contour Estimation, Bayesian Estimation, Random Fields, Dynamic Programming, Multigrid Methods. This paper addresses contour estimation on images modeled as piecewise homogeneous random elds. It is therefore assumed that images are samples of random elds composed of a set of homogeneous, in a statistical sense, regions; pixels within each region are assumed to be independent samples of a given ...

Visual information from lip shapes and movements helps improve the accuracy and robustness of a speech recognition system. In this paper, a new region-based lip contour extraction algorithm that combines the merits of the point-based model and the parametric model is presented. Our algorithm uses a 16-point lip model to describe the lip contour. Given a robust probability map of the color lip i...

We obtained, processed, and interpreted spectral analyses of aeromagnetic data across a portion the Lower Benue Trough with goal estimating depth to magnetic basement, modeling conspicuous anomaly, identifying basement topography, evaluating basin configurations. Qualitative interpretation based on visual examination total intensive anomalies map, residual contour first vertical derivative map ...

The numerical contour integral method with hyperbolic contour is exploited to solve space-fractional diffusion equations. By making use of the Toeplitzlike structure of spatial discretized matrices and the relevant properties, the regions that the spectra of resulting matrices lie in are derived. The resolvent norms of the resulting matrices are also shown to be bounded outside of the regions. ...

The high-speed movement of a ballistic target will cause folding and translation the micro-Doppler, which affect extraction micro-motion features. To address adverse effects targets in midcourse on features, novel translational compensation algorithm based template matching is proposed. Firstly, 512 × time-frequency map obtained by binarization down-sampling. then convolves to obtain contour-li...