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.
This article introduced the concept of ontology to knowledge representation of image recognition of stored-grain pests; it focused on the use of ontology to organize and implement the ontology model, and constructed image recognition of stored-grain pests' knowledge base what could be shared by the expert system. Finally, it basically achieved system framework of the knowledge base.
Locality Preserving Projection is a method which can extract the feature and reduce dimensionality effectively, which has been widely used in face recognition. However, it is also an unsupervised method, and it is an image vector-based method, needing to covert the face image into a vector. This conversion not only breaks the local structural information, but also brings lots of problems, such as...
Semantic gap that between the visual features and human semantics has become a bottleneck of content-based image retrieval. The need for improving the retrieval accuracy of image retrieval systems and narrowing down the semantic gap is high in view of the fast growing need of image retrieval. In this paper, we first introduce the image semantic description methods, then we discuss the main technologies...
Most automatic speech recognition systems have concentrated exclusively on the acoustic speech signal, and therefore they are susceptible to acoustic noise. The benefits from visual speech cues have motivated significant interest in automatic lip-reading, which aims at improving automatic speech recognition by exploiting informative visual features of a speaker's mouth region, which means speaker...
In night, it is difficult to locate vehicle license plate for vehicle recognition. In this paper, the algorithm uses colorful component in HSV space depending on the character of vehicle images in night, can divide the vehicle- plate region and many noises including vehicle- lamp and it's reflection light and road- line, and can delete the region without similar color of vehicle plate but with higher...
Canonical Correlation Analysis (CCA) is a standard tool in statistical analysis that measures the linear relationship between two data sets. In this paper, we present a multibiometric approach which combines palmprint feature and finger geometry feature based on Canonical Correlation Analysis. First, we use linear discriminant analysis (LDA) to build the palmprint feature. Second, the geometry feature...
The quality of underwater images is directly affected by water medium, atmosphere medium, pressure and temperature. This emphasizes the necessity of image segmentation, which divides an image into parts that have strong correlations with objects to reflect the actual information collected from the real world. Image segmentation is the most practical approach among virtually all automated image recognition...
This paper research the use of computer visual and image information collected preprocessing based on pattern recognition of soybean Nitrogen element detect. When Nitrogen elements of the soybean plant changes, color and texture will be characteristic. By nurturing and collecting samples, This work analyzed the characteristics determine preprocessing, established a preprocessing system model. The...
In order to effectively extract the detail of the image characteristics so as to obtain a better identification effect, the paper proposes a texture analysis method for handwriting image based on integral wavelet transform. This method not only can extract the detail features of the texture image, but also is not sensitive to brightness, this characteristic is difficult to achieve for the traditional...
In order to deal with the problem of that conventional algorithm of mosaic needed large coincidence region for registration and different gray in coincidence region may influent quality; this paper presents an algorithm of mosaic that combing the Fourier - Mellin Transform (FMT) and the characteristics of the Regional Detection. Firstly, the feature images are intercepted from real images for the...
In the operation of substation, judgment of isolator's status is very important. But there are potential safety problems by the current method, such as electric shock accidents and outage accidents. This paper proposes a isolator's status image recognition technique based on Gabor wavelet and SVM(support vector machine). The isolator's status video images are preprocessed before an analysis of the...
The quality of human silhouettes has a direct effect on gait recognition performance. This paper proposes a robust gait representation scheme to suppress the influence of silhouette incompleteness. By means of dividing human body area in a video sequence into several sub-areas, representing each sub-area through an ellipse whose parameters can be calculated from the corresponding motion information...
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.