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.
In order to classify the eaglewood, the work proposed a method of wood fiber segmentation and characteristic extraction based on the eaglewood micrographs. The active contour model was used to extract the contours of the eaglewood micrographs. After screening of wood fiber, the geometric features and shape factors were extracted to form characteristic vectors. After that, SVM was used to achieve the...
A vast amount of text data is recorded in the forms of repair verbatim in railway maintenance sectors. Efficient text mining of such maintenance data plays an important role in detecting anomalies and improving fault diagnosis efficiency. However, unstructured verbatim, high-dimensional data, and imbalanced fault class distribution pose challenges for feature selections and fault diagnosis. We propose...
Stereo-footprint is a vital trace evidence of criminal detection. Thus, it is important to make a high accuracy feature extraction of the stereo-footprint. In this paper, a system of stereo-footprint data acquisition-recognition is designed. In the system, feature extraction is completed through CP35MHT80 which offered by Wenglor, image extraction is gotten through C920 which is offered by Logitech...
Lane detection is very important for autonomous navigation of mobile robots. In this paper a method which utilizes both color and texture features to extract lane regions from images is proposed. First based on color features, an improved region-growing algorithm is used to segment the images providing roughly approximated lane regions. However due to variances of scene illumination and shadows, some...
Global motion estimation (GME) is an important part in the object-based applications. In this paper, a fast progressive model refinement (FPMR) GME algorithm is proposed. It can select the appropriate motion model according to the complexity of the camera motion. Two techniques are used to accelerate the procedure of FPMR. The first is an outlier prediction based feature point selection method. It...
This paper presents a progressive model refinement (PMR) method for global motion estimation (GME) in MPEG-4 video coding. Our contributions consist of two aspects. Firstly, a method of feature point selection is proposed based on the analysis of spatial distribution. It can effectively guarantee the number of feature point won't become too large and avoid most feature points congregated on a small...
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.