作者：
Piotr ZarychtaDivision of Telecomunications
Institiute of Electronics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Postal address: Akademicka 16 44-100 Gliwice Poland Phone: (048) 32 2371495
Image registration is the process of overlaying images of the same scene. As we search for the best alignment of the two images by transforming one into the other, it is a very crucial issue to assess how similar two ...
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Image registration is the process of overlaying images of the same scene. As we search for the best alignment of the two images by transforming one into the other, it is a very crucial issue to assess how similar two images actually are. The next step in computer aided diagnosis is called “assessment of the similarity”. There are two main classes of similarity measures namely feature-based and intensity-based. In this paper two similarity measures: NCC -normalized cross correlation and GD -gradient difference are mentioned. Normalized Cross Correlation has been used for various registration problems, because difference in contrast and brightness should not affect the similarity measure. Goal the current study is to align T1-weighted and T2-weighted MR knee slices. Both sequences are converted to a fuzzy representation. Then, the entropy and energy measures are employed in the NCC and GD methods. The alignment based on energy and entropy fuzzy mcasures shows a significant improvement in comparision with thc implementation of the original image.
作者：
Wojciech WięlawekDivision of Telecomunications
Institiute of Electronics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Postal address: Akademicka 16 44-100 Gliwice Poland Phone: (048) 32 23714 95
Abstract There are edge based segmentation approaches among the set of methods utilized to image segmentation. This type of methods analyse image gradient features (like the first, the second derivative or them modifi...
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Abstract There are edge based segmentation approaches among the set of methods utilized to image segmentation. This type of methods analyse image gradient features (like the first, the second derivative or them modification). Perfect tool to image processing is wavelet transformation which enables edges detection and often gets better results. In this paper wavelet transformation advantages was utilized. This tool was used to cost map definition. Cost map is a matrix which informs how many features of boundary each pixel possess. Then this cost map definition was applied to live-wire method. The method is semi-automatic and requires user interaction rely on points specification.
作者：
Piotr ZarychtaDivision of Telecomunications
Institiule of Electronics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Postal address: Akademicka 16 44-100 Gliwice Poland Phone: (048) 32 2371495
Abstract This article shows a new method of the cruciate ligament localization in T1-and T2-weighted MR knee images. Cruciate ligament localization allows to reduce number of sliccs used in 3D rendering. The analysis ...
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Abstract This article shows a new method of the cruciate ligament localization in T1-and T2-weighted MR knee images. Cruciate ligament localization allows to reduce number of sliccs used in 3D rendering. The analysis is performed on T1-and T2-wcightcd MR knee images. Each slice is subjected to two-dimensional entropy and energy measurements of fuzziness. Then, a fuzzy c-means clustering technique modified by introducing additionally to the objective function a median estimator is implemented. The class reflecting soft tissue is subjected to similarity measures which compare a local image intensity. A detailed local analysis, based on image profile models, yields a 3D region of interest (ROI) which includes the posterior and anterior cruciate ligament. Finally, fuzzy techniques applied to the ROI histogram analysis enhances the contrast and views the 3D region.
In this paper, the results from a joint industry-academia project in industrial robotic force control are presented. The extension and implementation of an external sensor system for an industrial robot system, which ...
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In this paper, the results from a joint industry-academia project in industrial robotic force control are presented. The extension and implementation of an external sensor system for an industrial robot system, which can be used for high-bandwidth force control, are described. Results from two industrial applications using the system are presented, a stub grinding application using a new compliant grinding end-effector integrated with the robot control system, and a deburring application with a stiff tool requiring high-bandwidth force control in six degrees of freedom. Using the system an easily reconfigurable control structure was achieved, which was able to control contact forces with a sampling bandwidth of an order of magnitude higher than for conventional robot controllers
Repetitive processes propagate information in two independent directions and are of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either st...
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Repetitive processes propagate information in two independent directions and are of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed ID here) or 2D systems theory. Here we give new results on the design of physically based feedforward/feedback control laws to achieve desired performance and disturbance decoupling in the sense defined in the body of the paper. The new results are for the case when only output (as opposed to state) information is used to activate the control law
作者：
Maciej NiedzwieckiAdam SobocinskiFaculty of Electronics
Telecommunications and Computer Science Department of Automatic Control Gdansk University of Technology Narutowicza 11/12 Gdansk Poland Tel: + 48 58 3472519 Fax: +48 58 3416132 e-mail: maciekn@eti.pg.gda.pl adsob@eti.pg.
Generalized adaptive notch filters are used for identification/ tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. Belon...
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Generalized adaptive notch filters are used for identification/ tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. Belonging to the class of causal adaptive filters, the generalized adaptive notch filtering algorithms yield biased frequency estimates. We show that this bias can be removed, or at least substantially reduced. The only price paid for the resulting improvement of the filter’s tracking performance is in terms of a decision delay, which must be incorporated in the adaptive loop. Since decision delay is acceptable in many practical applications, the proposed bias/delay trade-off is an attractive alternative to the classical bias/variance compromise.
This paper presents a conversational interface that uses the speech recognition and synthesis and animation abilities of two Microsoft software agents in order to assure a more natural and efficient interface with an ...
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Today's circuit design process is become a complex task. Sequential logic synthesis is an important part of the circuit design flow. The logic synthesis phase is a bottleneck during the overall design process sinc...
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The signal tracking properties of two adaptive notch filtering algorithms are studied analytically using a linear filter approximation technique. Even though restricted to a single frequency case, the presented analys...
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ISBN:
(纸本)1604238216
The signal tracking properties of two adaptive notch filtering algorithms are studied analytically using a linear filter approximation technique. Even though restricted to a single frequency case, the presented analysis provides valuable insights into the tracking mechanisms, including the speed/accuracy tradeoffs, the achievable performance bounds, and tracking limitations of the analyzed algorithms. Additionally, it allows one to formulate some useful rules of thumb for choosing design parameters.
This paper presents a conversational interface that uses the speech recognition and synthesis and animation abilities of two Microsoft software agents in order to assure a more natural and efficient interface with an ...
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This paper presents a conversational interface that uses the speech recognition and synthesis and animation abilities of two Microsoft software agents in order to assure a more natural and efficient interface with an autonomous robot. The interface is used in the robotics educational process. The basic commands to be given by voice (back, right, etc.) and the control of the agents are implemented in Visual Basic. More complex control programs can be implemented and tested in Matlab and after that executed with a simple voice command. This program is used as a part of an integrated educational strategy in autonomous robotics and was evaluated by a group of students. First experimental results related to the use of this conversational interface compared to traditional robot simulation environments and control of real robots are presented in this paper with related discussions.
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