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Workshop on Intelligent Solutions in Embedded Systems

作者： Markus Bader Miguel Albero Robert Sablatnig Jose E. Simo Gines Benet Gregor Novak Francisco Blanes Institute of Computer Aided Automation Pattern Recognition and Image Processing Group University of Technology Vienna Austria Departamento de Informática de Sistemas y Computadores Universidad Politécnica de Valencia Spain

Estimation of objects in a 3D space is a fundamental problem in computer vision and robotics. This paper describes an algorithm and its implementation for a vision module as a sensor of a biped robot (YABIRO). The embedded vision sensor is able to estimate the position of objects like spheres in 3D space. Objects are defined with their size and color in a model. The vision sensor detects the positions or at least the directions to the objects and stores them in a history. The algorithm includes a new voting system for detected objects, based on how trustable the detection was, and a new edge filter to terminate edges on the circle border for the circle detection. The systems frame rate depends on the area of interest and lies between 5 Hz and 20 Hz. With a mechanical size of 36times32mm it is smaller than a matchbox

关键词： Object detection Robot sensing systems Robot vision systems Computer vision Space technology Detection algorithms Hardware Embedded computing image edge detection Cameras

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3D TRUS image Segmentation in Prostate Brachytherapy

3D TRUS Image Segmentation in Prostate Brachytherapy

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Mingyue Ding L. Gardi Zhouping Wei A. Fenster Institute for Pattern Recognition and Artificial Intelligence Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China Imaging Research Laboratories Robarts Research Institute London ONT Canada

Brachytherapy is a minimally invasive interventional surgery used to treat prostate cancer. It is composed of three steps: dose pre-planning, implantation of radioactive seeds, and dose post-planning. In these procedures, it is crucial to determine the positions of needles and seeds, measure the volume of the prostate gland. Three-dimensional transrectal ultrasound (TRUS) imaging has been demonstrated to be a useful technique to perform such tasks. Compared to CT, MRI or X-ray imaging, US image suffers from low contrast, image speckle and shadows, making it challenging for segmentation of needles, the prostates and seeds in the 3D TRUS images. In this paper, we reviewed 3D TRUS image segmentation methods used in prostate brachytherapy including the segmentations of the needles, the prostate, as well as the seeds. Furthermore, some experimental results with agar phantom, turkey and chicken phantom, as well as the patient data are reported

关键词： image segmentation Brachytherapy Needles Minimally invasive surgery Ultrasonic imaging Imaging phantoms Oncological surgery Prostate cancer Position measurement Volume measurement

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Visualization of boundaries in volumetric data sets using LH histograms

Visualization of boundaries in volumetric data sets using LH...

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作者： Šereda, Petr Bartrolí, Anna Vilanova Serlie, Iwo W.O. Gerritsen, Frans A. Eindhoven University of Technology Department of Biomedical Engineering Image Analysis Group WH 3.2a Postbus 513 5600 MB Eindhoven Netherlands Delft University of Technology Department of Applied Physics Pattern Recognition Group Lorenzweg 1 2628 CJ Delft Netherlands PHILIPS Medical Systems Nederland BV Research and Advanced Development P.O. Box. 10000 5680 DA Best Netherlands Biomedical Engineering Department Eindhoven University of Technology Biomedical Image Analysis Section Biomedical Engineering Department Eindhoven University of Technology Quantitative Imaging Group Department of Imaging Science and Technology Delft University of Technology Biomedical Engineering Department Technische Universiteit Eindhoven Research and Advanced Development Business Group Medical IT Philips Medical Systems Best Netherlands

A crucial step in volume rendering is the design of transfer functions that will highlight those aspects of the volume data that are of interest to the user. For many applications, Boundaries carry most of the relevant information. Reliable detection of Boundaries is often hampered by limitations of the imaging process, such as blurring and noise. We present a method to identify the materials that form the boundaries. These materials are then used in a new domain that facilitates interactive and semiautomatic design of appropriate transfer functions. We also show how the obtained boundary information can be used in region-growing-based segmentation. © 2006 IEEE.

关键词： Volumetric analysis

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New image correlation analysis based on fuzzy information gain

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2006年第3期40卷 466-470页

作者： Shen, Hong-Bin Yang, Jie Liu, Xiao-Jun Chen, Ning-Jiang Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong Univ. Shanghai 200240 China Philips Research East Asia Shanghai 200070 China

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.

关键词： image processing

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AUTOMATED INVESTIGATION OF ARCHAEOLOGICAL VESSELS

AUTOMATED INVESTIGATION OF ARCHAEOLOGICAL VESSELS

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European Signal processing Conference

作者： M. Kampel H. Mara Robert Sablatnig Vienna University of Technology Pattern Recognition and Image Processing Group Favoritenstrasse 9/183 1040 Vienna Austria phone: + (43) 158801 183 64 fax: + (43) 58801 18392 email: {kampelmarasab}@prip.tuwien.ac.at web: www.prip.tuwien.ac.at

Motivated by the requirements of the present archaeology, we are developing an automated system for archaeological classification and reconstruction of ceramics. This paper shows a method to answer archaeological questions about the manufacturing process of ancient ceramics, which is important to determine the technological advancement of ancient culture. The method is based on the estimation of the pro- file lines of ceramic fragments, which can also be applied to complete vessels. With the enhancements shown in this paper, archaeologists get a tool to determine ancient manufacturing techniques.

关键词： Technological Advancement Manufacturing process ancient archeologist

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The world of mushrooms - A transdisdplinary approach to human-computer interaction with ambient intelligence

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NTT Technical Review 2006年第12期4卷 17-24页

作者： Maeda, Eisaku Minami, Yasuhiro Miyoshi, Masato Sawaki, Minako Sawada, Hiroshi Nakamura, Atsushi Yamato, Junji Yamada, Takeshi Higashinaka, Ryuichiro NTT Communication Science Laboratories Atsugi-shi 243-0198 Japan Ambient Intelligence Research Group Media Intormation Laboratory NTT Communication Science Laboratories IEEE IEICE IPSJ Signal Processing Research Group Media Information Laboratory NTT Communication Science Laboratories ASJ Audio Engineering Society Recognition Research Group Media Information Laboratory NTT Communication Science Laboratories Institute of Image Information and Television Engineers Robotics Society of Japan Emergent Learning and Systems Research Group Innovative Communication Laboratory NTT Communication Science Laboratories ACM Scheduling Society of Japan Knowledge Processing Research Group Innovative Communication Laboratory NTT Communication Science Laboratories Association for Computational Linguistics

This paper provides an update to the January 2006 letter on "ambient intelligence", describing this year's achievements and the latest demonstration systems. The Ambient Intelligence Project (also known by the code name project Mushroom) aims to bridge the boundaries between technological fields and thus cover the entire field of communication science.

关键词： Human computer interaction

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Open-close by reconstruction on CNNUM

Open-close by reconstruction on CNNUM

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9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA

作者： Zhang, Qingli Zhang, Zhaoyang Image Processing and Pattern Recognition Laboratory Shanghai University 200072 Shanghai China Image Processing Laboratory Group of Image Processing and Transmission Shanghai University 200072 Shanghai China

Open-dose by reconstruction is one of the most important algorithms in mathematical morphology, it was used widely in image and video processing, but it requires the huge computational power, what is the bottleneck for application. So in this paper, Cellular Neural Network (CNN) is used to solve the problem, new +1 template and "and" template are designed here, along with the already developed templates and image preprocessing technique, the gray-scale open-close by reconstruction is realized. Experimental results based on CNN simulator are shown, proved that the speed on CNN is about 300 times faster than in traditional PC, the real time processing can be realized.

关键词： Cellular neural networks

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Evaluation of object tracking for aircraft activity surveillance

Evaluation of object tracking for aircraft activity surveill...

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2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, VS-PETS

作者： Thirde, David Borg, Mark Aguilera, Josep Ferryman, James Baker, Keith Kampel, Martin Computational Vision Group University of Reading United Kingdom Pattern Recognition and Image Processing Group Vienna University of Technology Austria

ISBN: (纸本)0780394240

This paper presents the evaluation of an object tracking system that has been developed in the context of aircraft activity monitoring. The overall tracking system comprises three main modules -Motion Detection, Object Tracking and Data Fusion. In this paper we primarily focus on performance evaluation of the object tracking module, with emphasis given to the general 2D tracking performance and the 3D object localisation. ©2005 IEEE.

关键词： Aircraft

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A graph-based concept for spatiotemporal information in cognitive vision

A graph-based concept for spatiotemporal information in cogn...

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5th IAPR International Workshop on Graph-Based Representations in pattern recognition, GbRPR 2005

作者： Ion, Adrian Haxhimusa, Yll Kropatsch, Walter G. Pattern Recognition and Image Processing Group 183/2 Institute for Computer Aided Automation Vienna University of Technology Austria

A concept relating story-board description of video sequences with spatio-temporal hierarchies build by local contraction processes of spatio-temporal relations is presented. Object trajectories are curves in which their ends and junctions are identified. Junction points happen when two (or more) trajectories touch or cross each other, which we interpret as the "interaction" of two objects. Trajectory connections are interpreted as the high level descriptions. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Graph theory

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Evaluating minimum spanning tree based segmentation algorithms

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11th International Conference on Computer Analysis of images and patterns, CAIP 2005

作者： Haxhimusa, Yll Ion, Adrian Kropatsch, Walter G. Illetschko, Thomas Pattern Recognition and Image Processing Group 183/2 Institute for Computer Aided Automation Vienna University of Technology Austria

ISBN: (纸本)3540289690

Two segmentation methods based on the minimum spanning tree principle are evaluated with respect to each other. The hierarchical minimum spanning tree method is also evaluated with respect to human segmentations. Discrepancy measure is used as best suited to compute the segmentation error between the methods. The evaluation is done using gray value images. It is shown that the segmentation results of these methods have a considerable difference. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Trees (mathematics)

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