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.
Text detection in image is always a significant part in image semantic understanding, and detection of Uyghur text is a special and extensible application. In this paper, we propose a Uyghur text detection on the basis of the learning of a baseline structure, which generated from texture feature of the text. Firstly, texture features of the image are extracted and texts are classed by a SVM classifier,...
Steles are most important historical records of human civilizations, and most of them are collected by museums. Stele images are usually captured with flash compensation to the low-light condition of museum, resulting in annoying reflection spots due to the non-lambertian reflectance of polished stone steles. Observing that the reflection spots are bright at the center but fade away from the center,...
On SNS (Social Networking Services), detecting Sybils is an urgent demand. The most famous approach is called “SybilRank” scheme where each node evenly distributes its trust value that is firstly given to honest seeds and detects Sybils based on the trust value. Furthermore, Zhang et al. proposed to avoid trust values from being distributed into Sybils by pruning suspicious relationships before SybilRank...
In case of disasters such as cyclones, earthquakes, severe floods etc., widespread damages to infrastructures such as power grid, communication infrastructure etc. is commonplace. Especially to power grid, the damages to various structures are typically spread out in wide areas. Usage of drones to do fast remote survey of damage area is gaining popularity. From the remote surveillance video of any...
The median filter is widely used for removing impulse noise in images due to its good denoising property whilst maintaining reasonably edge preservation. When the noise level is large, it can be further improved by combining with a detail-preserving regularization to ensure satisfactory edge recovery. We propose an improvement over a state-of-the-art impulse noise removal method which was demonstrated...
Dense correspondence computation is a critical computer vision task with many applications. The most existing dense correspondence methods consider all the neighbors connected to the center pixels and use local support region. However, such approach might only achieve a locally-optimal solution.In this paper, we propose a non-local dense correspondence computation method by calculating the match cost...
Road lane detection is a key problem in advanced driver-assistance systems (ADAS). For solving this problem, vision-based detection methods are widely used and are generally focused on edge information. However, only using edge information leads to miss detection and error detection in various road conditions. In this paper, we propose a neighbor-based image conversion method, called extremal-region...
Reconstructing depth map from a sequence of images with different camera settings, known as Depth from Focus (DFF), has been addressed for decades. However, Classical local methods, e.g., windowed filter, usually produce uncertain estimation in textureless areas and depth discontinuities. Meanwhile, they appear sensitive to filter size and image noise. In this research a semi-global depth from focus...
Text and captions in videos provide useful information for content analysis and understanding. In this paper, we present an approach to detecting video text in a coarse-to-fine strategy. In the coarse phase we propose an efficient method to detect multi-scale candidate text regions with high recall. Then the candidate text regions are segmented and sent to the fine phase where a convolutional neural...
One fundamental challenge of Sketch-based Image Retrieval (SBIR) is the appearance gap between sketches and natural images. To bridge the gap, we propose a framework that describes both types of images based on sketch tokens. Sketch tokens are mid-level representations of local edge structures. Compared with describing images with pixel-level features, describing images with sketch tokens is more...
Lung segmentation is often performed as a preprocessing step on chest Computed Tomography (CT) images because it is important for identifying lung diseases in clinical evaluation. Hence, researches on lung segmentation have received much attention. In this paper, we propose a new lung segmentation method based on an improved graph cuts algorithm from the energy function. First, the lung CT images...
In general prospective, SI-SR or Single-Image Super-Resolution, which is one of the most useful algorithms of Super Resolution-Reconstruction (SRR) algorithms, is a mathematical procedure for acquiring a high-resolution image from only one coarse-resolution image, which is usually computed by Digital Image Processing (DIP). Even thought there have been substantially researched during the last decade,...
In this work we propose a novel non-linear diffusion filtering approach for images based on their channel representation. To derive the diffusion update scheme we formulate a novel energy functional using a soft-histogram representation of image pixel neighborhoods obtained from the channel encoding. The resulting Euler-Lagrange equation yields a non-linear robust diffusion scheme with additional...
When processing 3D point cloud data, features must be extracted from a small set of points, usually called keypoints. This is done to avoid the computational complexity required to extract features from all points in a point cloud. There are many keypoint detectors and this suggests the need of a comparative evaluation. When the keypoint detectors are applied to 3D objects, the aim is to detect a...
Practically, digital watermarking is considered as an advanced field of investigating to avoid unauthorized copying and duplication. In this paper, a comparative analysis is conducted among embedding the watermark on the edges of a cover image in two domains, spatial and frequency domains. In this work, the Sobel edge detection algorithm is used to find edges and embed the watermark on the edge in...
Rail track extraction from the image can be used to determine the train localization, or vision-based inspection of the rail, and some other driver supporting systems in railway. For the vision-based inspection, it is one of the most important tasks. But visual approach suffers from some common difficulties, the illumination change, shadow, weather effects, etc, which make the image processing for...
The traditional SIFT algorithm is popular to extract the feature points of target objects, but it also brings the feature points of non-target objects together, leading to mismatching. This paper proposes an improved SIFT algorithm based on adaptive threshold canny operator. In the proposed method, since it has the advantages of accurate edge detection and anti-noise ability, the adaptive threshold...
In order to solve the problem of pedestrian detection algorithm, which presents the weak real-time video monitoring and the recognition rate for improvement, a kind of HOG-neural network pedestrian detection method based on gaussian mixture background deduction, HOG feature and BP neural network, is presented in this paper. Compared with the classical HOG-SVM method, many experiment results show that...
Community detection is one of the most popular issues in analyzing and understanding the networks. Existing works show that community detection can be enhanced by proper assignments of weights onto the edges of a network. Large numbers of edge weighting schemes have been developed to cope with this problem. However, hardly has a satisfied balance between the local and global weightings been found...
Accurate surface normal computation is one of the most basic and important tasks for 3d perception. While much progress has been made in speeding up normal estimation algorithms and improving their accuracy, a significant inaccuracy still remains even with modern implementations, which is the correct determination of surface normals close to non-differentiable surface edges. Current algorithms tend...
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.