Synthetic Aperture Radar (SAR) target detection and identification technology is one of the choke points for SAR practical application, the key of which is effective feature extraction. In terms of high resolution SAR image, target identification performance can be improved if contour feature of target, one of main geometric structures, can be detected accurately. Therefore a method was propose...

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...

Recognition of features in topographic maps is useful for GIS applications. In particular, elevation data can be extracted and utilized by recognizing contour lines in maps. In this project, the viability of contour extraction using image segmentation and Delaunay triangulation for line reconstruction was investigated. Results suggest that, while the method has a high success rate for well beha...

We present a graph-based contour extraction algorithm for images with low contrast regions and faint contours. Our innovation consists of a new graph setup that exploits complementary information given by region segmentation and contour grouping. The information of the most salient region segments is combined together with the edge map obtained from the responses of an oriented filter bank. Thi...

It has been suggested that long-range intrinsic connections in striate cortex may play a role in contour extraction (Gilbert et al., 1996). A number of recent physiological and psychophysical studies have examined the possible role of long range connections in the modulation of contrast detection thresholds (Polat and Sagi, 1993,1994; Kapadia et al., 1995; Kovács and Julesz, 1994) and various p...

BACKGROUND The extraction of brain tissue from magnetic resonance head images, is an important image processing step for the analyses of neuroimage data. The authors have developed an automated and simple brain extraction method using an improved geometric active contour model. METHODS The method uses an improved geometric active contour model which can not only solve the boundary leakage pro...

A method was developed to utilize linguistic information (lexical accent types and syntactic boundaries) to improve the performance of the automatic extraction of the F0 contour generation process model commands. The extraction scheme is first to smooth the observed F0 contour by a piecewise 3rd order polynomial function and to locate accent command positions by taking the derivative of the fun...

A robust discrete curvature estimator was recently proposed by Kerautret et al. [1]. In this paper, we exploit the precision and stability of this estimator in order to define a contour extraction method for analysing geometric features. We propose to use a reference curvature function for extracting the frontier of a shape in a gray level image. The frontier extraction is done by using both ge...

Fourier Volume Rendering (FVR) has received considerable attention in volume visualization during the last decade due itsO(NlogN) rendering time complexity, where O(N) is the volume size. Nevertheless, FVR currently suffers from some quality limiting its usefulness in particular medical applications. The main reason for this is the lack of weighting sample points in dependence of the samples al...

We describe an object recognition system based on symbolic contour graphs. The image to be analyzed is transformed into a grapha with object corners as vertices and connecting contours as edges. Image corners are determined using a robust multiscale corner detector. Edges are constructed by line-following between corners based on evidence from the multiscale Gabor wavelet transform. Model match...