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Active shape models (ASMs) are statistical, deformable models, exhibiting a remarkable performance for the segmentation of the lung fields in plain chest radiographs. In this paper we propose a novel approach to improving the robustness of the original ASM against weak lung field boundaries, which can cause leaking of the shape's contour into the lung fields. The ASM is shielded against leaking by...
By now body scanning technology is the most up-to-date body measuring technology. In fact this technology is not only used to achieve body sizes but also can help to make deeper science research. In this article we discuss a new method for describing the 3D shape of woman warm jacket and set up its mathematic model, which is by dint of body scanning technology. Patterns of woman warm jacket were collected...
The aim of this study is to propose an algorithm for simplifying color images. The assumption is made that a set of reference colors is available and that this set indicates which features are of importance in the image. The goal is then to simplify as much as possible the color image while preserving as much as possible the shapes that are similar to the reference set. The proposed algorithm is in...
Statistically motivated approaches for the registration and tracking of non-rigid objects, such as the active appearance model (AAM), have become very popular. A major drawback of these approaches is that they require manual annotation of all training images which can be tedious and error prone. In this paper, a MPEG-4 based approach for the automatic annotation of frontal face images, having any...
Regulation of sizes and shapes of tooth are important matters to consider in generating an entirely bioengineered tooth for future tooth replacement therapy. In our current study, we investigated that whether an extent of contact area between epithelial and mesenchymal cell aggregates, which was reconstituted from embryonic day 14.5 molar tooth germ-derived single cells by our cell manipulation method,...
In this paper, a gait recognition algorithm based on multi-resolution regional shape context is proposed. Taking binary silhouettes as input, according to human anatomy knowledge, some key joints on human body are selected, then the shape context which counts regional pixel with multi-resolution and different support region, is used to extract the environmental characteristics of these joints, finally...
In this paper, an interactive sketch expression generation method is presented. By dragging one or a few control points on a new input sketch face, the system can draw corresponding natural expressions automatically. However, for an unseen target, with just a few knowledge of its neutral face, users' arbitrary input will often lead to unnatural even unreasonable results. In the proposed method, two...
Studies about the spatial variability and elevation influence of soil nutrient including soil total N (TN), available P (AP) and available K (AK) could provide a theoretical basis for the scientific management of farmland and protection of ecology and environment of lands. Based on the analysis of one hundreds more soil samples of farmland soil in Ninghai County, Zhejiang province, China, the spatial...
This paper introduces a new application of multipath shape factors that greatly simplifies the description of Nakagami-m fading channel. The three shape factors are angular spread, angular constriction and azimuthal direction of maximum fading. They are introduced to describe the first-order and second-order statistics of received signal fluctuations in a multipath fading channel. Analytical expressions...
A new adaptive multispectral image compression technique based on the regions identified is proposed. The algorithm is adaptive in the sense that according to the data type class of the region, appropriate encoding technique is chosen. The image is first segmented by means of Region splitting and merging procedure based on the statistical characteristic of the image. Then class adaptive hotelling...
A new geometric constraints histogram descriptor (GCHD) based on curvature mesh graph for image retrieval is presented in this paper. Through this method, the edge and angle geometric constraints based on the curvature mesh graph are extracted firstly. Then the histogram algorithm is applied on the geometric constraints to obtain the histogram matrix for each curvature point. Finally, the histograms...
In order to search the relationship of steel dimple's diameter and mechanical properties, it is necessary to measure steel dimple's diameter exactly and make a good numerical statistic, which can reduce the influence of human factor possibly. Adaptive fuzzy threshold segmentation method for equiaxed dimple image analysis and binary segmentation, which is produced by the ductile rupture, is used in...
Localization is an essential problem in wireless sensor networks (WSNs). Many localization algorithms have been proposed, but few efforts have been paid on theoretical analysis on the accuracy of these algorithms. Because it is naturally to formalize range-based localization problems as deterministic parameter estimation problems, for range-based localization algorithms Crameacuter-Rao lower bound...
An Univariate Analysis Of Variance (ANOVA) Discriminant Analysis (DA) classifier is proposed for classifying the masses present in mammogram. This approach combines the 19 shape properties of the mass regions and classifies the masses as benign or malignant using Univariate ANOVA. The experiment is performed on DDSM database images. Experimental results shows that the proposed method reaches high...
Relative position of object description are widely used in event understanding and computer vision tasks especially in object recognition. Use of low level features cannot give satisfactory results when high level concepts is not easily expressible in low level contents. Mostly researchers are concentrating on spatio- temporal relationship between objects or regions of an object in images. Object...
Bolus tracking of contrast agent with MRI is a well established technique for measurement of local cerebral hemodynamic parameters flow, volume and mean transit time. When performed on a voxel-by-voxel basis, it allows development of hemodynamic parameter maps useful for assessment of ischemic damage following stroke and tumor characterization in cancer. The analysis of the acquired dynamic data requires...
In clinical practice, renal cancer diagnosis is performed by manual quantifications of tumor size and enhancement, which are time consuming and show high variability. We propose a computer-assisted clinical tool to assess and classify renal tumors in contrast-enhanced CT for the management and classification of kidney tumors. The quantification of lesions used level-sets and a statistical refinement...
Extracting invariable features is one key issue for 3D model searching. A novel invariable feature extraction method, namely geometry projection based histogram model, is proposed for 3D model description. Different from the traditional method, one projection plane (or surface) is created for each 3D model, and the points of 3D models are projected to the projection plane (or surface), and then the...
A method using the gap statistic is proposed to evaluate the validity of a motor unit potential train (MUPT) in terms of motor unit potential (MUP) shape consistency. This algorithm determines whether the MUPs of a given MUPT are homogeneous in terms of their shapes or not. It also checks if there are gaps in the inter-discharge interval (IDI) train of the given MUPT. If the MUPs are not homogeneous...
Statistical methods of shape and appearance are powerful tools used in computer vision for near-correct interpretation of images. In this paper, we present a method for classifying facial expressions based on the extracted features of facial components. The face, the window to the inner self of an individual can be analyzed for outright expressions like sadness, happiness, anger, surprise, disgust...
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