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.
This paper proposes an efficient approach to extract salient objects in an image. A scale-invariant saliency map is first constructed based on a multi-resolution feature contrast calculation, meanwhile the image is segmented into homogenous regions using nonparametric kernel density estimation (NKDE). Then the region saliency ratio of each region combination to its complement is calculated in turn...
This paper presents an efficient face segmentation approach based on face attention model and seeded region merging. A face attention model that jointly exploits the information of skin color and eyepsilas position is first constructed to obtain a facial saliency map, which indicates the position of possible faces and is used to determine seed regions. Then a seeded region merging algorithm based...
Notice of Violation of IEEE Publication Principles??A Color Image Segmentation Method Based on Automatic Seeded Region Growing,"by Weiwei Li, Huixian Huang, Dongbo Zhang, Hongzhong Tang and Chenhao Wang,in the Proceedings of the 2007 IEEE International Conference on Automation and Logistics, pp. 1925-1927After careful and considered review of the content and authorship of this paper by a duly...
A major problem in content-based image retrieve (CBIR) is how to extract the perceptually salient object in an image. In this paper, we propose an efficient approach for automatic extracting the salient objects. First, an input image is segmented into homogeneous regions based on nonparametric kernel density estimation (NKDE), and then different features representing colour, texture and spatial position...
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.