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 segmentation aims to partition an image into several disjoint regions with each region corresponding to a visual meaningful object. It is a fundamental problem in image processing and computer vision. Recently, subspace clustering methods shows great potential in image segmentation. In this work we formulate image segmentation as subspace clustering of image feature vectors. To extend the capture...
In this paper, we present a new color image segmentation model based on nonconvex low-rank and nonconvex sparse (NLRSR) factorization of the feature matrix. The main difference between our model and the recently developed methods like the sparse subspace clustering (SSC) and low-rank representation (LRR) based subspace clustering is that they use the data matrix as the dictionary while we learn a...
The Chan-Vese model is very efficient in segmenting images. However, the algorithm given by Chan and Vese is sensitive to the initial level set function and the regularization parameter. It is difficult to get a right segmentation if the initial level set function and the regularization parameter are not chosen properly. In this paper, we aim to automatically and accurately segment binary images ...
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.