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.
It is a common issue to remove undesirable objects during reconstruction. The holes left behind are then needed to be given plausible information for the integrity. To complete the missing part of a 3D map generated from stereo inputs, the task can be separated into two operations which are repairing the color image and the depth map. In this paper, we design and release a specialized stereo dataset...
Neuronal networks reconstruction is a big challenge in the neuroscience. Recent developments in volume electron microscopy (EM) imaging have enabled us to obtain large amounts of brain tissues image data. Analysis of the tremendously huge neuronal EM images based on automated method would be of vital importance. In this paper, we propose a method that Deep Convolutional Neural Network (DCNN) is used...
Recently, due to the rapid development of scanning electron microscope (SEM) with its very high resolution in three dimensions, we can look more closely into those fine structures related to brain function. However, high resolution will inevitably produce huge amounts of data. Considerable attention has been paid for the automated data analysis, which is massively lagging behind data acquisition....
The very high resolution (VHR) images can be seen as multiview data. For better organizing and highlighting similarities and differences between the multiple views of data, a semisupervised multiview feature selection (SemiMFS) method is proposed in this paper, based on consensus and complementary principles. In SemiMFS, feature views are generated by decomposing features into multiple disjoint and...
Pansharpening algorithms have been widely discussed since the poor spatial resolution of the hyperspectral images limits their use in identifying textures or some other detailed information of different ground types in many applications such as sophisticated interpretation. To overcome the defect is of the top priority in this topic, for the conventional pansharpening methodologies usually suffer...
In this paper, We propose a method to recognize the pointer barometer reading in transformer substations by image processing technology automatically. The method contains two steps. First, we use segmentation and morphology to extract the dial from the background. Second, we use improved Hough Transform method to locate the pointer. With the initial range information, we can recognize the real reading...
We introduce a new problem called object co-labeling where the goal is to jointly annotate multiple images of the same scene which do not have temporal consistency. We present an adaptive framework for joint segmentation and recognition to solve this problem. We propose an objective function that considers not only appearance but also appearance and context consistency across images of the scene....
In this paper, change detection with multi-polarization SAR imagery is focused. Based on the polarimetric statistic distribution, a polarimetric test statistic is applied to evaluate the equality of two areas in two pass polarimetric SAR images. And then, in order to find out the `real' changed area, a constant false alarms rate (Pfa) is given to determine a threshold for change detection. Moreover,...
In this paper, one improved algorithm for the selection of local dynamic threshold based on niched genetic algorithm is proposed. With the maximum variance method being used as the fitness evaluation function, the genetic algorithm is designed, putting the image segmentation problem into one of the optimization issue. The optimal threshold is searched from the all segmentation parameter space by experiencing...
Extracting a human silhouette from an image is the enabling step for many high-level vision processing tasks, such as human tracking and activity analysis. Although there are a number of silhouette extraction and human tracking algorithms proposed in the literature, most approaches work efficiently only in constrained environments where the background is relatively simple and static. In this work,...
A major problem among the elderly involves falling. The recognition of falls from video first requires the segmentation of the individual from the background. To ensure privacy, segmentation should result in a silhouette that is a binary map indicating only the body position of the individual in an image. We have previously demonstrated a segmentation method based on color that can recognize the silhouette...
A major problem among the elderly involves falling. The recognition of falls from video first requires the segmentation of the individual from the background. To ensure privacy, segmentation should result in a silhouette that is a binary map indicating only the body position of the individual in an image. We have previously demonstrated a segmentation method based on color that can recognize the silhouette...
Extracting a human silhouette from an image is the enabling step for many high-level vision processing tasks, such as human tracking and activity analysis. Although there are a number of silhouette extraction algorithms proposed in the literature, most approaches work efficiently only in constrained environments where the background is relatively simple and static. In a previous paper, we addressed...
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.