The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Problems related to fault detection of turnouts are discussed in this paper, which is important to guarantee the security of a driving train. Motivated by an existing approach for fault detection of turnouts and to deal with its demerits, a hybrid feature extraction method is given, which extracts information in both time and frequency domains, then support vector machine (SVM) is further used to...
Virtual learning community is an important organizational form for collaborative learning. And the learning emotion, interaction degree, knowledge test are important characteristics of learning. However, the existing constructing strategy is unable to accurately determine the matching degree between the learner and the community. The lower matching degree will weaken the learning performance of learners...
In digital image forensics, identifying whether an image has been JPEG compressed is an important issue. Although the existing methods detect JPEG compression with high accuracy, their performance is degraded by resizing, which is usually used in image tampering. In this paper, a new method based on detecting block artifacts left by JPEG compression is proposed. The proposed method exposes the block...
With the fast development of Chinese high speed railway, the demand for the maintenance of railway equipment has increased rapidly. This paper studies an intelligent diagnosis method for high-speed railway turnout based on the support vector machine. We focus on the study about the methods of generating the feature vector and propose a rule-based method that utilizes the experts' experience knowledge...
Liver disease is one of the main causes of human healthy problem. Many clinical cases are still influenced by the subjectivity of physicians in some degree. Then, the subjectivity will affect the accuracy of diagnosis and the treatment of the patients. In this paper we proposes a new Computer Aided Diagnosis(CAD) system for the cirrhosis recognition in liver ultrasound(US) images using uniform LBP(u-LBP)...
In order to realize texture image segmentation, a new texture segmentation method is presented. The method fused with Local Binary Pattern (LBP), Gray-level Co-occurrence Matrix (GLCM) and permutation entropy. After processing the texture image by the rotation invariant LBP operator, the LBP image can be obtained. Then co-occurrence matrixes can be calculated in the LBP image, some features which...
Feature extraction acts a crucial role in application and research of hyperspectral data and minimum noise fraction (MNF) is one of the most common methods in feature extraction. Estimation of noise covariance matrix is an inevitable step of MNF, but it would bring error which would lead imprecise while using the first some components of MNF transform to represent original data. To solve the problem...
This thesis mainly study the problem of the accuracy and optimization of the feature extraction on the points of interest in images. Due to the complexity of the image and the interference of noise in the image, the traditional feature extraction algorithm based on the points of interest is difficult to extract the information which users interested in. In order to solve the above problems, an improved...
This paper presents a new Line Enhance Active Contour model (LEAC model) to detect the flame front boundaries from high speed Planar Laser Induced Fluorescence (PLIF) images. The model first enhances the crack region and the gradient of flame front by the Line Enhance Filtering algorithm, and then extracts flame front boundaries and crake edges from the enhanced PLIF images using the CV model. We...
The plant growth information should be extracted and reconstructed in order to dynamically simulate plant development on computer. Taking the tree as a experiment object, it could convert the video images including plant growth information to some key frames, and extract the features in relation to plant topologic structure and organ morphology. Additionally, this paper introduces a branch mosaic...
As an essential approach of SAR image interpretation, a good pose estimation calls for two conditions: an accurate extraction of the scattering centers and a thorough exploration of the structural information among them. The article focuses on these two topics successively. Firstly, the power spectrum estimation methods are recommended to improve the scattering center resolution and the Minimum Variance...
According to the importance position of form in product design, this research proposes a kansei-based method of product design to establish quantitative relationship between customers' feelings and product form features. Firstly, the form features of product are defined as evaluating attributes. Then through conjoint analysis, the utility value of each attribute can be derived for a given user image...
With the advent of high-efficiency technology of digital image processing and pattern classification, the research on classification for tool marks is catching forensic scientist's eyes. It is crucial for classification to extract and select the features from tool marks. In the practical situation, the geometrical shapes and the textures of tool marks are complex, irregular and stochastic. It is difficult...
It is important basis for virtual plant model to dynamically simulate the development process of plant on computer. The features can be extracted from the experimental results, then the plant growth information and environmental information used to be integrated together. According to the topological rule of plant and morphological change of organs, the morphological models of plant could be built...
Remote Sensing (RS) image classification is one of the most important ways to extract thematic information, which used broadly in many fields. More and more attention has been drawn on the data quality recently. It is crucial to assess uncertainty of RS image classification, but the methods used so far for this task cannot provide information fully and completely. Based on information theory and rough...
Currently, optical device, such as microscopes and CCD cameras, are utilized for identification of tool marks in the field of forensic science which mainly depend on the experience of forensic scientists. A new approach using extended fractal analysis technology to classify tool marks such as striation patterns is presented. it computes four directional multi-scale extended fractal parameters and...
Scale pattern of animal fibers is different and that is a major reference distinguishing them from each other. Usually, there are four basic shape parameters, including fiber diameters, scale interval, scale perimeter and scale area, to be used for describing the cuticle scale pattern of animal fiber. In present paper, two kinds of animal fiber are checked up under light microscope with a magnification...
In everchanging threat emitter environment, specific emitter identification (SEI) technology extracts subtle but persistent features from received pulse signal to create a fingerprint unique to a specific radar. Unlike conventional five parameters deinterleaving algorithm, which can be grossly ambiguous for radar emitter sorting, the SEI technology provides hardware specific identification. In this...
An useful approach is proposed for intra-pulse feature extraction of radar emitter signals based on symbolic time series analysis (STSA). Embedding time-delay and modified Shannon entropy are used as two-dimensional feature vector to sort the interleaving radar signals. The time-delay feature can determine the length of symbol series. The entropy feature can quantitatively reveal deterministic information...
An effective approach based on the feature of time-frequency atoms for classification of the radar emitter signals is presented. Firstly, we introduce a fast matching pursuit (MP) algorithm, which using improved quantum genetic algorithm (IQGA) to reduce the time-complexity at each step of standard MP, to decompose the signal into a linear expansion of Gaussian chirplet time-frequency atoms. Then,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.