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.
Due to the complex background in the airfield pavement, it is difficult to detect the foreign object debris (FOD) with various types and sizes. In this paper, a new FOD detection framework using region proposal techniques (e.g. Region Proposal Network) and Convolution Neural Networks (CNN) with Spatial Transformer Networks (STN) is proposed. The advantages include: on the one hand, the CNN and Region...
Segmentation of infrared ship target is important for sea surveillance system. However, as a result of the deficiencies of infrared images, the segmentation of infrared ship image becomes a challenge. For the purpose of addressing this problem, a feature based infrared ship image segmentation method utilizing the fuzzy inference system is proposed. Firstly, the intensity feature is extracted by applying...
Multi-focus image fusion is an important technique that extracts sharp regions from multiple images and composites them into a fully focused image. In this paper, a novel spatial domain-based fusion algorithm for multi-focus images through gradient-based decision map construction and mathematical morphology is proposed. The contributions of this paper are: 1) a weighted kernel based on image gradient...
Multi-focus image fusion is an important technique that extracts sharpness regions from multiple images and composites them into a fully focused image. In this paper, a novel spatial domain based fusion algorithm for multi-focus image through gradient based decision map construction using morphology and active contour model is proposed. Firstly, the original focus maps are constructed based on the...
The Fuzzy C-Means clustering (FCM) and the possibility FCM (PFCM) are popular methods in MRI brain image segmentation. However, using the Euclidean squared-norm distance as the similarity criterion makes FCM and PFCM only suitable for clustering the hyperspherically distributed data groups. The MRI brain image does not distribute hyperspherically, which means FCM and PFCM have intrinsic deficiency...
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.