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...

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...

After many years of intensive investigation and mapping of the topography, a large number of topographic maps were produced by national mapping agencies. The explosive growth and wide availability of topographic data has created a data-rich environment for a variety of GIS users. How to make the best use of such topographic data has become a basic but daunting task. The research challenge now i...

In this paper, we present a generic topological and geometrical framework for the digital reconstruction of complex contours from labeled images. The proposed technique is based on combinatorial map simplifications guided by digital straight segments. We illustrate the genericity of the framework with a parallel contour reconstruction algorithm.