A specific formalism for virtual signal generation permits to transpose an image processing problem to an array processing problem. The existing method for straight-line characterization relies on the estimation of orientations and offsets of expected lines. This estimation is performed thanks to a subspace-based algorithm called subspace-based line detection (SLIDE). In this paper, we propose ...

We present a streamlined mathematical framework for modeling and classifying closed curves from medical images. The method of gradient vector flow (GVF) snakes is used to extract object boundaries in the magnetic resonance images of the human brain. The curvature based arc-length parametrization is used to parameterize the extracted boundary. A linear curve registration is then performed to ali...

For scalable and model-based coding of videophone sequence at very low bit rates, a 2-D scalable face model has to be designed. In this paper, an efficient algorithm is presented for the automatic detection of chin contour of a person face. The chin is first represented by a deformable template consisting of two parabolas. Then, a cost function is minimized to find the best fit of template to t...

An unmanned aerial vehicle was used as a mobile sensor platform to collect sea-ice features at NyÅlesund in early May 2011, and several image processing algorithms have been applied to samples of sea-ice images to extract useful information about sea ice. The sea-ice statistics given by the floe size distribution, being an important parameter for climate and waveand structure-ice analysis, is c...

We present a prototype software system with sufficient capacity and speed to estimate radiation exposures in a mass casualty event by counting dicentric chromosomes (DCs) in metaphase cells from many individuals. Top-ranked metaphase cell images are segmented by classifying and defining chromosomes with an active contour gradient vector field (GVF) and by determining centromere locations along ...

We present and evaluate an approach for finding local interest points in images based on the non-minima suppression of Gradient Vector Flow (GVF) magnitude. Based on the GVF’s properties it provides the approximate centers of blob-like structures or homogeneous structures confined by gradients of similar magnitude. It results in a scale and orientation invariant interest point detector, which i...

Abstract Purpose B-mode ultrasound images are used in identifying the presence of fat deposit if any carotid artery. The intima media, lumen, bifurcation boundary is detected by echogenic characteristics embedded Methods A fully automatic self-learning based segmentation proposed extracting edges a modified affinity propagation, which given as inputs to Density Based Spatial Clustering Applicat...

The performance of the electric submersible pump (ESP) significantly affected by Gas Void Fraction (GVF). Thus, using of a Rotary Gas Separator (RGS) is a suitable solution for this issue. The performance of the RGS is function of different parameters such as geometry of impeller, rotating speed, boundary conditions, media viscosity and GVF. In this study, the influences of GVF, viscosity, ...

We propose a modification of the generalized gradient vector flow field techniques based on multiresolution analysis and phase portrait techniques. The original image is subjected to mutliresolutional analysis to create a sequence of approximation and detail images. The approximations are converted into an edge map and subsequently into a gradient field subjected to the generalized gradient vec...

In this work, we present an automated method for the detection and boundary determination of cells nuclei in conventional Pap stained cervical smear images. The detection of the candidate nuclei areas is based on a morphological image reconstruction process and the segmentation of the nuclei boundaries is accomplished with the application of the watershed transform in the morphological color gr...