In this paper, we propose a novel classification method for lung nodules from CT images based on hybrid features. Towards nodules of different types, including well-circumscribed, vascularized, juxtapleural, pleural-tail, as well as ground glass optical (GGO) and non-nodule from CT scans, our method has achieved promising classification results. The proposed method utilizes hybrid descriptors c...

in this study, geometrical, gravimetrical and frictional properties of four common varieties of iranian canola seeds (namely: slm, hyola, okapi, orient), containing the mean moisture value of 6.5% (w.b.) were investigated. geometrical and gravimetrical properties included length, diameter, geometric mean diameter, sphericity, thousand seed mass, volume, true density, bulk density and porosity. ...

Duality applied to geometrical problems is widely used in many applications in computer vision or computational geometry. A classical example is the Hough Transform to detect linear structures in images. In this paper, we focus on two kinds of duality/polarity applied to geometrical problems: digital straightness detection and envelope computation. Introduction In domain of geometry, notion of ...

Digital watermarking is a technique used to embed an extra piece of information into multimedia signals without degrading the signal quality. For robust audio watermarking, geometrical modifications are common operations and present many challenges because they severely alter the tempo or spectral structures of the audio and thus cause watermark desynchronization. However, most of the existing ...

This paper deals with 3D mesh indexation by using shape descriptors (SD) under constraints of geometrical invariance and topological robustness. The 3D Shape Spectrum Descriptor (3D SSD), recently adopted within the future MPEG-7 standard, is first introduced. The 3D SSD aims at providing an intrinsic shape description of a 3D mesh and is defined as the distribution of the shape index over the ...

In this paper Contourlet based statistical modeling is used for Fabric Defect Detection. The Contourlet transform is a recently proposed two dimensional method used for image analysis. It is very efficient for representing images with fine geometrical structure. In the proposed method for defect detection Contourlet based feature extraction is used. Contourlet Transform is capable of capturing ...

This paper presents a novel method for 2D and 3D shape matching that is insensitive to articulation. It uses the eccentricity transform, which is based on the computation of geodesic distances. Geodesic distances computed over a 2D or 3D shape are articulation insensitive. The eccentricity transform considers the length of the longest geodesics. Histograms of the eccentricity transform characte...

In this paper we present an auto-detection corner based on eigenvalues product of covariance matrices (ADEPCM) of boundary points over multi-region of support. The algorithm starts with extracting the contour of an object, and then computes the eigenvalues product of covariance matrices of this contour at various regions of support. Finally determine automatically peaks of the graph of eigenval...

We study the problem of locating sensors to detect the failure of any set of radiation sources in a system. For computing illumination data, we suggest the use of radiosity methods. We then consider the problem of optimising sensor placement to unambiguously identify any inactive sources. We show that the problem can be transformed from a numerical to a geometrical domain, relate it to set cove...

Digital images are generated by different sensors, understanding which kind of sensor has acquired a certain image could be crucial in many application scenarios where digital forensic techniques operate. In this paper a new methodology which permits to establish if a digital photo has been taken by a photo-camera or has been scanned by a scanner is presented. The specific geometrical features ...