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.
We present a methodology for the automatic identification and delineation of germ-layer components in H&E stained images of teratomas derived from human and nonhuman primate embryonic stem cells. A knowledge and understanding of the biology of these cells may lead to advances in tissue regeneration and repair, the treatment of genetic and developmental syndromes, and drug testing and discovery...
This paper addresses the problem of automatic pattern classification in real metallographic images from the steel plant ArcelorMittal Ostrava pic (Ostrava, Czech Republic). Images of manufactured metal plates contain dark dots, i.e. imperfections. We monitor the process quality in the steel plant by determining automatically the number and sizes of these dots which represent plates' imperfections...
A low-resolution face image is segmented into detailed regions and flat regions. The detailed regions are super resolved using classified predictors according to the local textural structures, while, the flat regions are magnified using bilinear interpolation. Experimental results show that both the visual quality and the computational cost are improved.
High spatial resolution remotely sensed images have made it possible for humans to observe the earth in detail; however, there are new challenges for processing such kind of images. Some different categories in the images are always classified into one category using spectral features based classification method, because they have similar color or intensity. In recent years, the image processing approach...
In this paper, we present an extension to the recurrent motion image (RMI) motion-based object recognition framework for use in development of automated video surveillance systems. We extended the object classes of RMI to include four-legged animals (such as dog and cat) and enhanced the preprocessing and shadow removal algorithms for better object segmentation and recognition. Under the new framework,...
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.