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A novel locating vehicle license plate (VLP) method is proposed in this paper. Firstly, preprocessing is used on the license image. Then a series of morphological operations are used to extract important contrast features to find out all license plates candidates. As a result of the noise, more than one candidate will be extracted after the morphological operations, so the auto -correlation based...
Analysing vibration signal is an effective important method for diesel engine fault diagnosis, and its key techniques are feature extraction and pattern recognition. In this paper, wavelet packet decomposition algorithm as an effective method for fault feature extraction is used to decompose the vibration signals, and its percentage of energy band wavelet packet and wavelet packet energy spectrum...
Video shot boundary detection plays an every important role in video processing. It is the first step toward video content analysis and content-based video retrieval. We develop a novel approach for video shot boundary detection based on supervised learning. Our method consists in first extracting video frame feature using a supervised kernel non-locality preserving projections, then video frames...
Aiming at the complex background of coronary angiograms, weak contrast between the coronary arteries and the background, a new segmentation method based on transition region extraction of degree is proposed. Firstly, the paper analyzes the characteristic of coronary angiograms. Secondly, 6 different Gaussian matched templates are used to enhance the coronary angiograms in order to remove the background...
A hierarchical reinforcement learning method based on heuristic reward function is proposed to solve the problem of “curse of dimensionality”, that is the states space will grow exponentially in the number of features, and low convergence speed. The method can reduce state spaces greatly and can enhance the speed of the study. Choose actions with favorable purpose and efficiency so as to optimize...
Feature selection plays an important role in the area of machine learning. Class Label is often used as the supervised information for supervised feature selection algorithm while constraints are rarely used. So, an effective feature selection algorithm with pairwise constraints called Constraints Score was proposed. But its performance still is limited by neglecting the correlation between features...
The segmentation of touching symbols is one of the key factors which affect the performance of printed mathematical expression recognition system. An Improved method for segmentation of touching symbols in printed mathematical expressions is presented. This method is suitable for different types of touching symbols. Firstly, the outer contour of the symbol image is extracted based on contour tracing...
This paper proposes a method of facial expressions recognition which combined moment invariants features with singular value. Moment invariants and singular value features are extracted respectively from the eyes, eyebrows and mouth regions in the facial expression images. Then these features are optimized to obtain a feature vector by Fisher linear discriminate analysis and a SVM classifier is trained...
A method for license plate location based on SVM is proposed in this paper. Firstly, the mathematical models of SVM are introduced, and then the feature extractions of license plate image are discussed, finally it is proved that this location method is very precise and efficient by experiments in VC development environment.
Edge detection of bottle opening is a primary section to the machine vision based bottle opening detection system. This paper, taking advantage of the Balloon Snake, on the PET (Polyethylene Terephthalate) images sampled at rotating bottle-blowing machine producing pipelines, extracts the opening. It first uses the grayscale weighting average method to calculate the centroid as the initial position...
This dissertation develops a new approach of feature extraction for tool wear based on Acoustic emission, an application of Hilbert-Huang transform method to feature extract is presented. Using the empirical mode decomposition of the original times series data, the Hilbert transform is applied to each intrinsic mode function. Then our emphasis is how to calculate the Hilbert spectrum and the Hilbert...
Organizing images into meaningful (semantically) categories using low-level visual features is a challenging and important problem in content-based image retrieval. Clustering algorithms make it possible to represent visual features of images with finite symbols. However, there are two problems in most current image clustering algorithms. One is without considering the choice of the initial cluster...
Ethnic Facial Feature is one of the most important face features. We create a face database of ethnic groups and extract facial features by using face recognition technology. In the feature extraction method, we adapt the algebra and geometry features from face database. In algebra features, LDA algorithm extracting the algebraic features of human face images is used. The paper also constructs a new...
Wavelet multiresolution analysis allows us to detect edges at different scales, also to obtain other important aspects of the extracted edges. However, due to the usual two-dimensional tensor product, wavelet transform is not optimal for representing images. The main problem in edge detection using wavelet transform is that it can only capture point-singularities, and the extracted edges are not continuous...
This paper will combine Sobel operator with Zernike moments operator to extract the sub-pixel edge feature for liver CT images. Sobel operator can effectively smooth the noise, provide more intact edge feature, then propose a limited non-optimal suppression improved method based on the Zernike moments. By a large number of experiments, improved method increases the accuracy of feature extraction,...
Feature points are an important local feature of an image. Due to the poor performance in noise endurance of traditional gray weighted centroid algorithm, an improved algorithm is proposed. By dividing the object region into inner pixel region and edge pixel region, all inner gray pixels are equalized to restrain the noise. At the same time, all feature points are marked by connectivity to improve...
This paper presents an novel technique that employs both the color and edge direction features for Content-Based Image Retrieval (CBIR). In this method, a given image is first divided into sub-block which has the same size and then the color and edge direction features of each sub-block can be extracted. Next, it constructs a codebook of color feature using clustering algorithm and then each sub-block...
The quickly developed bicycle in the un-motor vehicle is taken as example. From the three aspects of the strike vehicle, the no-motor vehicle and the cyclist which micro materials interchanged and the superficial attachment extracted, it provided the basis and the method to recognize the suspicion vehicles. According to the consults of massive correlation data, the accident scene record and participated...
The aim of this paper is to properly classify various stego images of JPEG to their own stegnographic methods (current steganographic methods, such as F5, OutGuess, Steghide, JPhide and Jsteg). Although some Multiclass Detection methods had been previously published by the authors, they all had various limitations and disadvantages. First, models of some detect methods are too complicated, and their...
Geospatial data extraction, which extracts geometric information and attributes information from the graphical data file, attributes database to binary point, line, surface storage format to form an intermediate file. According to the software demand the middle point of the document line elements are separated and stored in accordance, then the elements are placed in corresponding layers. In essence,...
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