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 this paper, we address the task of automatic digest generating of video data taken from kindergarten surveillance cameras. Our objective is extracting and merging video segments to recode children's daily life. In order to deal with mass video data efficiently, we jointly utilize location information and visual features to segment raw material videos. Our proposed method involves two steps. The...
Boundary finding is one of the most important aspects in medical image processing. Wavelet edge detector becomes popular in recent years but is known to degrade in noisy situations. This study aimed to develop an advance precision image segmentation algorithm to enhance the blurred edges clearly for medical target definition. A new method of combining wavelet analysis with Markov random field (RBF)...
In this paper, a scheme using fuzzy mathematical morphology operations is proposed for extracting coronary arteries tree on angiogram. After the enhancement of image with the traditional morphological top-hat operator, the vessel image is filtered with the fuzzy morphological opening with a set of linear structuring elements at different orientation. At the same time, the enhanced image is also filtered...
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the location and segmentation of regions containing handwriting and machine-printed text in documents images. This approach is a greedy forward selection algorithm that iteratively constructs one linear feature at a time. The algorithm...
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.