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Paper documents still represent a large amount of information supports used nowadays and may contain critical data. Even though official documents are secured with techniques such as printed patterns or artwork, paper documents suffer from a lack of security. However, the high availability of cheap scanning and printing hardware allows non-experts to easily create fake documents. As the use of a watermarking...
Corner is a significant geometrical characteristic in digital image processing. The accuracy in corner detection has much meaning in image processing and measurement. This article aims to propose an improved threshold determination method for the Smallest Univalue Segment Assimilating Nucleus corner detection algorism. This improved algorism calculates the threshold values separately for each pixel...
We introduce a statistical shape descriptor for Sketch-Based Image Retrieval. The proposed descriptor combines feature information in near and far support regions defined for each sketch point. Two feature values are extracted from each point, corresponding to near and far support regions from the point's perspective, and used to populate a 2-D histogram representing the shape features of the sketch...
The paper focuses on 3D structure and motion factorization from uncalibrated image sequences. An alternative weighted factorization algorithm is proposed to handle noisy image measurement. The novelty and main contributions of the paper are as follows: (i) A simple while accurate quasi-perspective projection model is adopted for structure and motion factorization; (ii) feature uncertainties are estimated...
Though network coding is traditionally performed over finite fields, recent work on nested-lattice-based network coding suggests that, by allowing network coding over finite rings, more efficient physical-layer network coding schemes can be constructed. This paper considers the problem of communication over a finite-chain-ring matrix channel Y = AX + BZ, where X is the channel input, Y is the channel...
The research of palm print features has attracted a lot of attention, and the principal lines which is one of the stable and important features in palm print images can provide effective information for application of palm print technology. Aimed to accurate and natural extraction, in this paper, an associated extraction method of palm print principal lines is presented based on the own properties...
A hybrid approach is proposed to reconstruct a three dimensional penetrable object using near-field data. Electric dipoles as the sources of incident field and measuring the scattered field in near-field region are considered. The aperture which dipoles are located on is shaped like a finite cylinder. The numerical result clearly shows that this inversion algorithm provides a robust procedure which...
Clustering is one of the most valuable methods of computational intelligence field, in which sets of related objects are cataloged into clusters. Almost all of the well-known clustering algorithms require input number of clusters which is hard to determine but have a significant influence on the clustering result. Furthermore, the majority is not robust enough towards noisy data. In contrast, density...
In this paper, we present a novel set of features which mainly comprises Fourier descriptors to facilitate the classification of white matter (WM) fiber tracts reconstructed from diffusion tensor imaging (DTI) tractography. Particularly, Fourier descriptors composing the feature vectors are different frequency terms of the discrete Fourier transform of the Euclidean coordinates of the step points...
This paper focuses on the evaluation of the performances of three different antenna sensors suitable of Partial Discharge (PD) measurements. Monopole, triangular and spherical antennas were simulated by means of the surface moment method. The transmitting system is modeled by a power electronic device with a fault current between two metal plate. The shape of the simulated transmitted and received...
We present a method of achieving autonomous compliant behavior in snake robots. This behavior allows snake robots to adapt to changes in its environment, e.g. changes in pipe diameter while climbing. To simplify the task of high-level closed-loop control, the controller uses a low-dimensional gait framework that has been previously used for open-loop trajectory generation. We use an extended Kalman...
Precise estimation of frequency and phasor has become important in electrical power grids. Knowledge of phasor enables localization of faults, calculation of active and reactive power flows, determination of electrical parameters of system components (lines, transformers), etc. In this paper we present a new method for frequency and phasor assessment. Frequency assessment is done by applying statistical...
This paper discusses the enhancement using blob analysis applied to automatic segmentation of “GrabCut” tool [1] for segmenting blooming flowers in color images. The automatic segmentation of “GrabCut” is used to initialize the segmentation, but the results are not effective and there is insufficient separation of foreground and background color distributions. In our proposed work, the segmented “GrabCut”...
This paper deals with the distribution of signal received by airborne radar in Doppler domain for maritime surveillance mission. It is composed of thermal noise and sea clutter which its intensity may be described by a compound K-distribution. The data used was recorded in high range and Doppler resolution by monostatic coherent X-band radar above Mediterranean sea and Atlantic ocean. The statistics...
The wall thickness is known as a valuable measure for the cardiac diagnosis. From the geometric point of view, it can be considered as a function defined on the 2D manifold of the medial surface. This paper presents a novel classification method based on medial representation to diagnose and detect the myopathic regions on the left ventricle. A shape space is proposed and constructed based on the...
Hand pose estimation from video is essential for a number of applications such as automatic sign language recognition and robot learning from demonstration. However, hand pose estimation is made difficult by the high degree of articulation of the hand; a realistic hand model is described with at least 35 dimensions, which means that it can assume a wide variety of poses, and there is a very high degree...
Modern cognitive experiments in functional Magnetic Resonance Imaging (fMRI) involve the repetition of the same paradigm over several short sessions (or runs) since long fMRI acquisitions usually place the subject in an uncomfortable situation and generate motion artifacts. Also, shorter sessions enable to better control the subject's cognitive state and guarantee his attention during task. The Joint...
The medial axis of a shape provides a compact abstraction of its global topology and a proximity of its geometry. The construction of medial axis in two-dimensional (2D) sensor networks has been discussed in the literature, in support of several applications including routing and navigation. In this work, we first reveal the challenges of constructing medial axis in a three-dimensional (3D) sensor...
In forensic comparison of facial video data, often only the best quality frontal face frames are selected, and hence potentially useful video data is ignored. To improve 2D facial comparison for law enforcement and forensic investigation, we introduce a model-free 3D shape reconstruction algorithm based on 2D landmarks. The algorithm uses around 20 landmarks on the face and combines the structure...
This paper describes an efficient approach for irregular moving object detecting and tracking in real-time system based on color and shape information of the target object from realistic environment. Firstly, the data is gotten from a real-time camera system at a stable frame rate. And then, each frame is processed by using proposed method to detect and track the target object immediately in consecutive...
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