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The new Wound Diagnostics Tool (WDT) software package presented here aims to produce wound progress statistics that have clinical significance by linking digital image-based and three-dimensional (3D) geometry maps of the ulcer with existing traditional risk assessment techniques and other wound progress tracking information. All this information is then combined in a detailed electronic report that...
This paper introduces a method for better communication between collaborating engineers and between engineer and entity generation processes at the definition of products in modeling systems. The authors recognized the importance of correct human-computer- human communication by using of product model as a special medium for engineers. In order to establish a product model that is appropriate for...
In this study the value of magnetic resonance image (MRI) shape and texture analysis was assessed in multiple sclerosis (MS) subjects, both in differentiating between normal or normal appearing and abnormal tissue and in assessing disease onset. Shape and texture analysis was carried out in normal brain white matter and lesions detected in transverse sections of T2-weighted magnetic resonance (MR)...
Two methods for evaluation of crucial factors describing status of cardiologic patients based on advanced signal processing methods were incorporated into prototype network based clinical decision support system: (a) novel method for chest impedance signal analysis enabling reliable evaluation of central hemodynamics in non-invasive way; (b) method for automatic detection and evaluation of ECG T-wave...
Developed prototype of network based clinical decision support system consists of database of clinical data and web-based applications for signal and image analysis methods and algorithms. The methods for eye fundus image analysis and ECG P-wave morphology evaluation are the first methods covering two clinical specialties - cardiology and ophthalmology in the system. Network based database and combined...
Snakes, or active contours, are one of the major paradigms in image segmentation and they are extensively applied for the processing of the biomedical images. With the vector field convolution (VFC) as external force, they have a larger capture range and the ability to progress into concave boundaries. However, when we have to deal with highly non-convex shapes, the VFC field forms an area where the...
The up-to-date segmentation techniques and software programs for microarray image segmentation require human intervention which in turn may detrimentally affect the biological conclusions reached during microarray experiments. In this paper, an automatic approach for segmenting microarray images, based on the morphological modeling of spots, is presented. The conducted experiments have shown that...
Decomposition of time reversal operator (DORT) method is developed based on iterative time reversal technique and eigenvector decomposition for scattering analysis. This method involves the determination of the invariant of the time-reversal operator (TRO) obtained by singular value decomposition of the array response matrix. A recent work has used DORT method to characterize an elastic cylindrical...
3D imaging allows the detailed visualization of medical structures that can be very important in the process of treating patients. In this paper we describe a method for generating 3D models representing medical structures, using data derived from a single image showing a single cross-section of an object. The proposed method utilizes a 3D deformable model that is allowed to deform in order to approximate...
Detecting and tracking fingertips are significant techniques for recognizing hand gestures. Many patterns and skin color information are used to extract and trace features. However, to find correct shapes is difficult and there is limitation to express the diversity of models. In this paper, we describe a method of detecting and tracking fingertips based on Active Shape Models (ASMs) and an ellipse...
In this paper we propose a method to enhance Active Shape Model based bone segmentation. One major weakness of the classic algorithm is the use of a single dedicated image feature. However to model the variation of image content along the object boundaries it is more suitable to use different features for different regions. We derive an automatic intelligent selection of these features and integrate...
Speech recognition and speaker detection technique from audio visual fusion information attract much attention. In the visual side information, namely lip reading area, most of recent studies are based on analyzing shape of mouth, whereas few studies are based on analyzing lip motion. However, analysis associated with mouth motion gives essential cues for obtaining utterance mechanics. Thus, as a...
Deployment of sensors and routing inside an irregular region is one of the most fundamental challenges of Wireless Sensor Networks. The performance of an effective and efficient sensor network is highly related to the proper configuration and design of the network and effective communication between the sensors deployed. In real scenario, the area that needs to cover, may suffer from natural geographical...
Shape discretization through union of weighted points or balls appears as a common representation in different fields of computer graphics and geometric modeling. Among others, it has been very successful for implicit surface reconstruction with radial basis functions, molecular atomic models, fluid simulation from particle systems and deformation tracking with particle filters. These representations...
Although traditional line illustrations are very abstract representations, they can communicate the form of an object effectively. This is only possible by the use of perceptual cues, mastered by professional artists. To create effective line illustrations from 3D models, it is important to use these perceptual cues to avoid visual dissonance and ambiguity, and also to create visual effects like shading,...
We propose a method to edit RGBNs (images with a color and a normal channel). High resolution RGBNs are easy to obtain using photometric stereo. Free editing will result in normals which do not correspond to any realizable surface. Our normal operators guarantee the integrability of the results. Our method can filter normals with any linear kernel allowing high-pass and edge-enhancement filters. We...
The medial axis, also known as symmetry axis, is a special type of skeleton that has a number of interesting properties. It is a powerful tool in applications involving pattern recognition, image analysis, path planning and mesh generation, to name a few. Since the proposal and definition of the medial axis, in 1967, much effort has been done to develop fast and accurate methods for calculating the...
A novel structure MEMS gyroscope using the multi-layers nano resonant tunneling film with meso-piezoresistive effect is introduced in this paper. According to the theory of drive and detection, the folding-type orthogonal beam structure is designed, and the simulation of ANSYS proves that the structure does not only meet the drive approach, but also meets the detection conditions. This kind of gyroscope...
Microelectrode arrays (MEAs) become an important tool for neurophysiology research. They are instrumental in revealing neural network formation processes and inter-cell communication schemes, which helps to understand the functioning of the human brain and to treat it's diseases. The electrode pitch of current CMOS-based MEAs can be as low as 18 ??m, which allows for recording the activity of single...
Action recognition is a challenging problem in video analytics due to event complexity, variations in imaging conditions, and intra- and inter-individual action-variability. Central to these challenges is the way one models actions in video, i.e., action representation. In this paper, an action is viewed as a temporal sequence of local shape-deformations of centroid-centered object silhouettes, i...
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