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The analysis of scientific data, specially in different kinds of cosmological studies, has to deal with the increment in data volume. These studies include the calculation of correlation functions such as the Two-point Three-Dimensional Correlation Function. To get the final estimator value for these functions, it is necessary to construct histograms for storing large number counts. Histograms are...
In this study, a web application is presented for detecting locations with content-based similarity on high resolution orthoimagery via histogram matching methods. For this application, a web interface utilizing Bing Maps for determining query image w as constructed via ‘Python Flask Micro Web Framework’. This web interface uses the center location of the Bing Maps extent, and the image closest to...
This paper analyzes the performance of different implementations of a three-point angular correlation function. This function is used in the study of large scale distribution of galaxies in a variety of computational platforms. The function is based on histogram construction and presents a large computational cost. This cost dramatically increases with the size of the datasets. The implementation...
In this paper, we propose an efficient algorithm for sharpness improvement of license plates based on image fusion, and the use of multiple images of the same vehicle in different positions of the road using information redundancy. This algorithm was used on the radar project led by MAScIR that enables to estimate the speed of vehicles, extract the license plates and improve their contrast through...
Due to the growth in popularity of low power embedded devices with integrated biometric data and algorithms for user verification; speaker recognition problem with limited resources becomes more and more of an interest. Limited memory and processing power of embedded devices requires simple yet robust speaker recognition algorithm. In this work the influence of histograms of fast binary features from...
Longitudinal registration has been used to map brain atrophy and tissue loss patterns over time, in both healthy and demented subjects. However, we have not seen a thorough application of the geodesic shooting in diffeomorphisms framework for this task. The registration model is complex and several choices must be made that may significantly impact the quality of results. One of these decisions is...
Correlation filter based trackers are well studied for object tracking and shown great interest to the research community in recent years. The vast majority of the works make utilization of either color feature channels or Histogram of Gradient feature channels for object tracking in visual spectrum. However, the strength of feature channels varies from RGB videos to thermal infrared videos. Subsequently,...
Natural and affective handshakes of two participants define the course of dyadic interaction. Affective states of the participants are expected to be correlated with the nature of the dyadic interaction. In this paper, we extract two classes of the dyadic interaction based on temporal clustering of affective states. We use the k-means temporal clustering to define the interaction classes, and utilize...
Scintillations affect the propagated signal with an unwanted aleatory oscillation at the receiver. A first analysis of data acquired from Alphasat Q-band receiver station, located in Spino d'Adda (Italy), is performed. Correlation between meteorological measurements at the ground and measured scintillation from the Q-band beacon receiver (i.e., fluctuation of the received electromagnetic field) is...
Generally the surveillance system wireless camera is used to monitor the object in heavy traffic in secured way and it also support satellite communication to broadcast the tracked object information to others. It is used to reduce computational delay in real time detection and tracking videos. In object detection and tracking system detection and background separation is very important role, here...
In this paper, we introduce a fast, secure and robust scheme for digital image encryption using chaotic system of Lorenz, 4D hyper-chaotic system and the Secure Hash Algorithm SHA-1. The encryption process consists of three layers: sub-vectors confusion and two-diffusion process. In the first layer we divide the plainimage into sub-vectors then, the position of each one is changed using the chaotic...
Various aspects of improving the efficiency of graphical tests used to explore the results of stochastic transformations are discussed in the article. A method to improve performance of stochastic data processing using hybrid computing technologies and comparative analysis of the original tests and the tests with the proposed improvements are presented. Potential areas for improvement of the graphical...
In this article the results of testing of numerical methods of solution of differential equations describing the systems with chaotic dynamics in MATLAB are discussed. The results of evaluation of the actual error, the global error and root-mean-square error of the numerical solution of the test differential equation system are discussed. The results of evaluation of the main radio technical parameters...
With the development of Internet technology, Internet security issues become increasingly prominent. People transfer a large amount of digital images on the Internet every day, in order to protect the security of the digital image, the most direct and effective way is to encrypt the digital image. Chaotic encryption system with natural characteristics, chaotic image encryption can effectively protect...
Recent trends and also statistics show that the hashing concept has been gaining importance because its application lies in the area of authentication, retrieval and recognition. The proposed hashing method CCQ-CSLBP (Compressed CSLBP with Correlation Coefficient) for authentication utilized correlation coefficient as a weight factor in CSLBP. CSLBP is a texture operator, whose performance is better...
Scan registration is the fundamental of several advanced 3D data processing techniques, and the majority of existing global registration methods depend on explicit features. This paper presents a global feature-less scan registration strategy based on the Spherical Entropy Image (SEI) and the Generalized Convolution Theorem. The structure of the scan is described by a spherical function named SEI...
Tonic is one of the integral part of Indian music. It is base pitch for entire rag or melody. In this paper, we have discussed tonic extraction method for analysis of Indian music. The literature witnesses several computationally complex and slightly sluggish algorithms for tonic extraction. We have used Harmonic Product Spectrum (HPS) method to exploit the harmonic nature of music for pitch extraction...
Security of multimedia data becomes an obligation, due the increasing use in smart embedded systems and other domains such as medical industrial and engineering applications. In this paper, we propose a fast, secure and light weight scheme for digital image encryption based on nested chaotic attractors using the Secure Hash Algorithm SHA-1 using only two-diffusion process. The results of security...
The divergence similarity between two color images is presented based on the Jensen-Shannon divergence to measure the color-distribution similarity. Subjective assessment experiments were developed to obtain mean opinion scores (MOS) of test images. It was found that the divergence similarity and MOS values showed statistically significant correlations.
With the development of digital images processing, image inpainting is become one of the most impressive and useful technique. Based on partial derivative equations or texture synthesis, many image inpainting techniques have been proposed. Amano et al. proposed a method that based on eigenspace analyzes, which is called Back Projection for Lost Pixels (BPLP). It obtains the eigenspace from a set of...
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