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.
When reading mammograms, radiologists combine information from multiple views to detect abnormalities. Most computer-aided detection (CAD) systems, however, use primitive methods for inclusion of multiview context or analyze each view independently. In previous research it was found that in mammography lesion-based detection performance of CAD systems can be improved when correspondences between MLO...
This paper presents an efficient indoor-outdoor scene classification algorithm based on neural network learning. To facilitate the hardware implementation, efficient image (composite) feature extraction based on image color, entropy, DCT coefficients, and edge orientation was developed. The trained scene classifiers demonstrate robust performance.
The detection of texts in video images is an important task towards automatic content-based information indexing and retrieval system. In this paper, we propose a texture-based method for text detection in complex video images. Taking advantage of the desirable characteristic of gray-scale invariance of local binary patterns (LBP), we apply a modified LBP operator to extract feature of texts. A polynomial...
The paper presents a novel approach for the (semi-) automatic extraction of sub-surface layers' properties from GPR data. The methodology solves the inverse scattering problem by means of artificial neural networks which are able to map proper features derived from the electromagnetic signal onto the dielectric permittivity and thickness of the layer which has backscattered the radiation. The whole...
The model based on fuzzy ART neural network is designed and realized. It can deal with online learning and recognition of the known and unknown faces at the same time. The simulation experiment results show an online maximum recognition rate is 91.25% when the proper network parameters are selected. 400 images of 40 persons in the AT&T Yale face database are used for simulation experiment.
The influence of the feature vector (FV) content on the CBIR (content-based image retrieval) system efficiency was considered. By using two different FVs and applying three different learning methods, it was shown that the efficiency of retrieving depends on both the FV content and the learning method, independently.
Within the context of a traffic scenario, pedestrians may have several attitudes or perform different actions: wait at the traffic light, cross the street, run for a bus or a taxi, walk or run on the pavement. When performing all these actions, pedestrians have different attitudes: stand, walk, run. We have studied those attitudes and the contexts in which they appear and we have derived some semantic...
Frying of potatoes causes some changes in their microstructures. By studying these changes we have presented quite suitable features for automatic analysis of microscopic images taken from fried potatoes, and have also introduced a new mechanism based on machine learning for automatic quality control of fried potatoes. Experimental results show that the presented structure may well be used for controlling...
Video summarization is not only the key to effective cataloging and browsing video, but also as an embedded cue to trace video object activities. In this paper, a video summarization approach based on machine learning is developed for automatic video transition prediction. Several novel features are extracted to characterize video boundary, including cut, fade in, fade out and dissolve for facilitating...
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.