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 a novel retinal vessel segmentation based on supervised method in color fundus images. To determine whether a pixel is the vessel pixel or not, 30 features are extracted for each pixel in the fundus image which consisting of features in Gaussian scale space, features by multi-scale Gabor filter and divergence of vector fields. Then we use the features obtained by the previous process...
A novel method for fusion detection of infrared small target based on fisher linear discriminant analysis in wavelet domain is presented in this paper. The proposed method consists of two processes. In the first process: a fisher linear discriminant vector is firstly obtained through fisher linear discriminant analysis model based on target and background samples. And then the vector is converted...
Space-based Space Target Detecting (SSTD) has great advantages than that of ground-based, so it is a necessary tendency to make efforts to develop this technology. This paper firstly analyses the effects on visible light imaging caused by the severely space environment, models the space-based image. After that, a new algorithm for target detecting and tracing is presented. Experiment results based...
The satellite in ground-based infrared image often shows as a small target (often few pixels) in cloud background, which is difficult to be detected. This paper firstly analyses the background properties, models the background in infrared image, and puts foreword an adaptive background suppression algorithm based on Wiener method. After segmentation and getting rid of false targets, a multi-level...
An efficient method based on SOM neural network is proposed for extracting road networks from the high resolution remote sensing image. Firstly, the road region segmented used improved methods. Then the original image is divided into some grids, and the original weighs of neurons. The road center nodes in the grids were won the SOM algorithm which is inspired from a specialized variation of SOM neural...
A multiscale segmentation method is proposed for multispectral imagery of high resolution by combining an adapted watershed algorithm and a region merging algorithm. Before the preliminary segmentation by the adapted watershed algorithm, a filtering method and a method for getting rid of local minimum areas are imposed to avoid over-segmentation. The whole process can be divided into five steps as...
This essay proposes a maximum variance between clusters method of image segmentation (OTSU) based on PSO. The method in this paper makes use of particle swarm algorithm and achieves a great acceleration to the traditional OTSU. On that basis, we also applied the parallelism technology in particle-swarm algorithm and find an optimal threshold, so we can segment images with this threshold. The result...
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.