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.
Tumor growth induces angiogenesis that results in immature/dysfunctional vessels. The purpose of this study is to demonstrate feature extraction and analysis of tumor vascular structure based on non-fluorescent microscopic images for long-term investigation. The averages of angle, and radius of microvasculature on the surface of the tumor were measured and analyzed at different weeks for each tumor...
As the image size increases, it is difficult to perform the large size image processing on a single computer in a limited time. One of the most efficient solving methods is parallel computing. Most numerical approaches for image computing with nonlinear diffusion filtering by means of an unconditional stable semi-implicit schemes are implemented based on an additive operator splitting (AOS) scheme...
With the multi-core technology be widely used in PCs, multithreading method becomes the most efficient programming tool for improving the computation capacity on a single processor. Especially in image processing, most numerical approaches are based on the computing over the pixel matrices. As the image size increases, more time consuming is needed. In this paper, a parallel method to perform the...
The segmented blood vessel in retinal images is an important indicator in medical treatment. In 2007, Ricci and Perfetti proposed a simple and efficient blood vessel segmentation method based on line operator. However, this scheme makes some false segmentation when it is used to process the pixels which are close to a thick blood vessel. To overcome the above problem, a novel retinal blood vessel...
In this paper, we propose a classification mechanism for retinal images so that the retinal images can be successfully distinguished from nonretinal images, egg yolk images for example. The proposed classification mechanism consists of two procedures: training and classification. The image features of retinal images and nonretinal images are extracted at the beginning of the training procedure to...
Most numerical approaches for image registration with PDE method are based on the computing over the pixel matrices. As the image size increases, more time consuming is needed. Then, one of the most efficient solving methods is parallel computing. In this paper, we discuss the parallel deformable registration computing carried on the cluster. First, we present the diffusion PDE model to describe the...
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.