This paper presents improvements in generation of wideband and high dynamic range analog signal for area-efficient MADBIST, especially for the on-chip testing of wireless communication IF digitizing sigma-delta modula...
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Based on the statistic and the fuzzy uncertainty information in an image, a new fuzzy information gain method was proposed to measure the distinctness between the object image and the reference image, which provides a...
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Based on the statistic and the fuzzy uncertainty information in an image, a new fuzzy information gain method was proposed to measure the distinctness between the object image and the reference image, which provides a new criterion for image matching or retrieval. The experimental results demonstrate the effectiveness of the new method.
A network-based Virtual Private Network (VPN) architecture by using fundamental routing mechanism is proposed. This network is a virtual overlay network based on the relay of IP-in-IP tunneling of virtual routing modu...
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A network-based Virtual Private Network (VPN) architecture by using fundamental routing mechanism is proposed. This network is a virtual overlay network based on the relay of IP-in-IP tunneling of virtual routing modules. The packet format employs the encapsulation of IPSec ESP (Encapsulating Security Payload), an impact path code and an extended OS (Differentiated Services) code to support multi-path routing and QoS. Comparing with other models of VPN, this network system can be deployed in the current network with little investment, and it is easy to implement. The simulation result shows its performance is better than the traditional VPN system of black box mode.
This paper presented an improved linear discriminant analysis (LDA) algorithm for face recognition, which can effectively deal with the two problems in traditional LDA-based approaches: (1) the small sample size probl...
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This paper presented an improved linear discriminant analysis (LDA) algorithm for face recognition, which can effectively deal with the two problems in traditional LDA-based approaches: (1) the small sample size problem, and (2) the Fisher criterion is nonoptimal with respect to classification rate. In particular, the proposed algorithm can also improve the classification rate of one or several appointed classes. The key to this method is to use the technique that it can reserves the significant discriminatory information for dimension reduction and meanwhile utilize a modified Fisher criterion. The comparative experiments on ORL face database verify the effectiveness of the proposed method.
Central nervous system dysfunction in infants may be manifested through inconsistent, rigid and abnormal limb movements. Detection and quantification of these movements in infants from videos are hence desirable for p...
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ISBN:
(纸本)9781467383264
Central nervous system dysfunction in infants may be manifested through inconsistent, rigid and abnormal limb movements. Detection and quantification of these movements in infants from videos are hence desirable for providing useful information to clinicians. This could lead to computer-aided diagnosis of dysfunctions where early treatment may improve infant development. In this paper, we propose a scheme for detecting and quantifying qualitative aspects of limb movement through multiple tracking and state space motion modeling on videos. The main novelties of the paper include: (a) An enhanced detection method for effectively detection small weak marker points from video; (b) Bayesian estimation and nearest neighbor searching for selecting new observation in individual tracker and for tracking marker trajectories on limbs; (c) A criterion for anomaly detection based on the frequency and duration of abrupt changes in limb movement, using window averaged prominent residual powers. The proposed method has been tested on videos of neonates, results show that the proposed method is promising for tracking and quantifying the movement of neonate limbs for helping medical diagnostics.
In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2018 wieder die Darstellung aktueller Forschungsergebnisse und ...
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ISBN:
(数字)9783662565377
ISBN:
(纸本)9783662565360
In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2018 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - einige davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung und -akquisition, Maschinelles Lernen, Bildsegmentierung und Bildanalyse, Visualisierung und Animation, Zeitreihenanalyse, Computerunterstützte Diagnose, Biomechanische Modellierung, Validierung und Qualitätssicherung, Bildverarbeitung in der Telemedizin u.v.m.
Two treatments of color image segmentation with information entropy were introduced: (1) The layers of the image are analyzed with whole information entropy and the segmentation resolution can be self-adapted;(2) The ...
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Two treatments of color image segmentation with information entropy were introduced: (1) The layers of the image are analyzed with whole information entropy and the segmentation resolution can be self-adapted;(2) The image is segmented with patch information entropy by segmenting the image in patch. According to the segmentation results, it can be found that the image segmentation with alterable resolution is more similar to the processing character of human vision.
This paper proposed a morphological erosion operator based on partial differential equation (PDE). Its excellent performances on gradient image, noise removal and edge preserving were demonstrated. Based on this opera...
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This paper proposed a morphological erosion operator based on partial differential equation (PDE). Its excellent performances on gradient image, noise removal and edge preserving were demonstrated. Based on this operator, an evaluating scheme of diffusion coefficients was introduced: the noise and edge of gradient image was controlled and preserved directly by this morphological erosion operator rather than by pre-smoothing input image with Gaussian function or the conventional morphological operator. The new diffusion coefficient had robustness to noise and better localization of edges. Experiments demonstrated that this anisotropic diffusion scheme could efficiently reduce image noise and sharpen the object boundaries.
A regularized restoration algorithm based on maximum-likelihood estimation was presented for restoring object images from the noisy turbulence-degraded images. The logarithmic maximum-likelihood function for multi-fra...
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A regularized restoration algorithm based on maximum-likelihood estimation was presented for restoring object images from the noisy turbulence-degraded images. The logarithmic maximum-likelihood function for multi-frame image data based on the model of image random field was built, and some auxiliary terms to smooth noise while preserve the edges of images and the penalized item to avoid trivial solutions were added to the maximum-likelihood function. The iterative formulas of calculating the PSFs and object image were derived so that the PSFs and the object image could be estimated in the iterative manner. A parallel processing scheme for the algorithm is also proposed. The restoration experiments on the simulated turbulence-degraded images in the case of noise show that the proposed algorithm has high ability of noise-resisting and it has some practical applications.
A contour-based 3D terrain matching method is presented. In the method, Iso-Elevation Contour Map (IECM), a compact feature-based representation is proposed to represent the reference DEM and recovered DEM (REM) from ...
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A contour-based 3D terrain matching method is presented. In the method, Iso-Elevation Contour Map (IECM), a compact feature-based representation is proposed to represent the reference DEM and recovered DEM (REM) from real-time data to convert 3-D terrain matching to contour-based matching. In the contour-based matching, a normalized wavelet descriptor, which is invariant to 2-D rigid transformation and insensitive to noise, is employed to describe contours. A very fast contour-matching algorithm based on normalized wavelet descriptor is presented and the computation cost is analyzed. Control points based on matched contour pairs are located. 2-D rigid image transformation model and parameter estimation using the rule of least root mean square error (RMSE) are discussed. The proposed matching method is robust and computing efficiency is very high, and can obtain high location accuracy;all these are demonstrated by experimental results using real terrain data.
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