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.
Image-based estimation of skin lesions is efficient sub-field of medical imaging. The objective of task is to achieve more proper assessment of treatment effects. A significant group of skin lesion detection methods makes use of spatial relationships in order to deliver features for image region. Recently, a few study advances have been made in this particular group of area-based methods. This paper...
Early detection of abnormality in image of skin is now considered the crucial contributor for successful treatment. We explored how constructing a sparse neighborhood net of pixels and distinction of patches in the image feature analysis play a role for diagnostic ability of lesion segmentation. Since image patches are considered like circumstance of many factors including skin tone, skin aberrations...
Geometric models of point-based and region-based features are potent tools for cardiac image registration. This paper presents a new region-based approach which uses Gaussian process to specify the breathing and cardiac motion in magnetic resonance imaging. To take the advantage of the fact that each kind of motion has its specific spatial influence we interpret the motions with distinct Gaussian...
Estimation of saliency requires multiple techniques and often results in unacceptably poor match quality of saliency map construction. This work addresses the challenge by introducing the inverse dynamical non-local filter and automated analytical saliency estimation method by the filter. The inverse non-local mean filter is a new implementation of the non-local means filter which is a practical denoising...
Manual identifying region with visual attention in image/video frames is not a facile task. An algorithm which automatically reveals salient region from a single image is presented. The challenging problem of saliency detection is tackled by the Delaunay triangulation with an advanced salient criteria. The criteria addresses to difference of intensive value and image feature which is based on local...
Detection of regions with high visual attention from image has various applications including advertising design where ads are often associated with relevant semantic visual information. The salient regions in the image/video have to be identified in a consistent way, even if original objects or background are texture scene. This is achieved by solving combinatorial problem of down-sampling that searches...
An adaptive model of bilateral filter is presented for digital in painting. The model works by transforming in painting into an equivalent energy condition minimization and generation of patches for missing areas by interpolating within working frame. It combines knowledge of local structure by bilateral filter and intensive value. Bilateral filter is adapted to missing regions to check similarity...
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.