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In order to extract the medial axes of vascular objects from 3D medical volume data, a precise centerline extraction algorithm is proposed. A binary image sequence which has been segmented is taken as the input data. Distance transform is performed for the data to generate a distance map. Based on the distance map and for each target-voxel which belongs to the cavity of vascular structure, a Hessian...
Aimed at the problem of dim small target detection in infrared image which is characterized by low SNR and the serious background and noise disturbance, a new detection method was proposed based on the nonsubsampled contourlet transform. Firstly, the nonsubsampled contourlet transform was employed to decompose the source image. Considering the different energy distribution characteristics of the target,...
To solve the problem of moving object segmentation in video sequence, a new video moving object segmentation algorithm was proposed based on Kirsch edge operator. The detected edge is mainly analyzed for segmentation and motion vector field is taken as assistant information. Firstly, the motion vectors are processed by accumulation and median filer. Secondly, templates of Kirsch operators are decomposed...
Aiming at the limitation of traditional graph-theory clustering method in the process of image segmentation, a new segmentation approach is proposed, which uses fuzzy similarity relationship to weight the edges while a complete graph is constituted. And fuzzy maximum spanning tree is used to clustering. Thus the traditional graph-theory clustering method is improved as the fuzzy graph-theory clustering...
Pulmonary radiographs are essential tools to the evaluation and diagnosis of suspected infections of the lower respiratory system. Interpretation of a radiograph in the clinical context is a valuable diagnostic adjunct to the selection and the management of a specific clinical protocol for therapy. The key element in the proper diagnosis of a bacterial pulmonary infection is the analysis of the radiographic...
In this paper we develop a strategy for visual relevancy evaluation using Rate Distortion analysis in the Circular Harmonic Functions (CHF) Domain. In the CHF domain, the different visual characteristics of the transformed frames - edges, lines, forks, crosses, etc - are emphasized. Resorting to this domain we analyze a new approach to evaluate the distortion due to an event of video data loss accounting...
This paper introduces a new decision making criteria by which the region of interest (ROI) is selected and evaluated. This criterion is based on human psychology of relevance in visual perception. The experimental results are validated by comparing with eye tracker system and human evaluation measured by subjective correlation value for each ROI.
This paper presents a Directional Rectangular Pattern (DRP) based complex background modeling method to detect the moving objects in a video sequence. Different from Local Binary Pattern (LBP) encoding the binary result of first-order derivative between the central point and its neighborhoods, Directional Rectangular Pattern is proposed to encode the binary result of first and second order derivative...
The purpose of this paper is to present an effective way to achieve a high-level integration of a clinical decision support system in the general process of heart failure care and to discuss the advantages of such an approach. In particular, the relevant and significant medical knowledge and experts' know-how have been modelled according to an ontological formalism extended with a base of rules for...
This paper presents a vision based scheme for detecting flying vehicle using a new feature extraction and correspondence algorithm as well as a motion flow vectors classifier. The base of detection is to classify the motion flow vectors of object and scene at two video sequences from a mobile monocular CCD camera. For this purpose, we introduce a method to extract robust features from fuzzified edges...
Color and its distribution are important features of a flame image. Fire detection based on sequences of images is more suitable for the need in big room or badly environment. A new color model used to detect flame in an image is found. The model is based on the features that were linear transformed from RGB of the image color. Flames in video sequences are detected by using the features of color...
Traditional methods of optical flow estimation are poor in uneven brightness variation environment .This thesis solves this problem by generalized dynamic image model (GDIM). And according to the combination of the rich color information in color images and generalized dynamic image model, a model of color image sequence optical flow computation is presented in this paper. And the model presented...
This paper proposes a novel gait recognition method based on fast shape matching algorithm. First, we propose a simple but effective gait cycle estimating method and analyze the periodic property of gait sequences. Each frame in the sequence is assigned a phase. Those frames with the same phase are averaged to clean noises. As a result, the original long sequence with dozens of frames is simply represented...
In this paper, a novel fusion method for gender classification from gait based on multi-view video sequences is proposed. At the feature level, each human silhouette in a whole gait period is segmented into eight different components. Then at the match score level, the discrimination distance of each corresponding component under every camera-view angle is respectively weighted. The two-dimension...
The problem of gait period detection was transformed to that of regional characteristics analysis in a single frame, namely, the gait period was divided according to region characteristic variable in each frame. A method for gait period detection based on regional characteristics analysis is proposed in this paper. Gait video sequences were coarsely classified into frontal and non-frontal ones in...
A new method for visualisation and segmentation of vessel structures in 3D magnetic resonance angiography (MRA) images is presented. This method uses a simple statistical model of the information stored along parallel rays within the data set to derive a 2D projection image. Although similar to the maximum image projection (MIP) method, the new method uses a single parameter to achieve a higher contrast-to-noise...
Detection and analysis of trajectories are effective for providing services to pedestrians in public spaces. We have proposed a method to detect moving objects from a monocular image sequence with a normal mixture model. However, the method cannot accommodate a changing number of moving objects. As described herein, to overcome this shortcoming, we proposed two algorithms for counting number of moving...
There are several approaches invented for solving the triangulation problem in computer vision. Most of them are not projective-invariant, which is very important in 3D reconstruction. Therefore, we propose the method in this paper to solve the problem. Instead of solving high order equation, we introduce second-order Lagrange multiplier. We get the result by iterative, and therefore the result will...
Ambient intelligence systems need to know what the users are doing. In this paper, An architecture for human activity recognition using a visual sensor network is proposed. The video sequence perceived by each camera is locally processed to obtain a local activity label. These activity labels are fused by an upper tier to obtain a global activity label. The activities recognized by the system are...
Motion detection and extraction for multi-view video (MVV) is one of the key technologies for MVV applications, and it has become a hot in recent years. In this paper, a new method that will use semantic information and movement information based on depth maps for motion detection is pro-posed. First, a sequence of consecutive depth images is converted into a sequence of consecutive temporal-to-spatial...
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