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IEEE International Conference on group IV Photonics

作者： D. J. Thomson F. Y. Gardes Y. Hu G. Mashanovich G. T. Reed L. Zimmermann D. Knoll S. Lischke H. Porte B. Goll H. Zimmermann L. Ke P. Wilson S-W. Chen S. S. H. Hsu G.-H. Duan A. Le Liepvre C. Jany A. Accard M. Lamponi D. Make F. Lelarge S. Messaoudene D. Bordel J.-M. Fedeli S. Keyvaninia G. Roelkens D. Van Thourhout Department of Biomedical Engineering Image Analysis Group Eindhovan University of Technology Eindhoven Netherlands Department of Applied Physics Pattern Recognition Group Delft University of Technnology Delft Netherlands Research and Advanced Development Philips Medical Systems Nederland BV Best Netherlands University of Southampton Southampton Hampshire GB IHP Frankfurt (Oder) Germany Leibniz-Institut fur innovative Mikroelektronik Frankfurt an der Oder Brandenburg DE PHOTLINE Technologies ZI Les Tilleroyes - Trépillot Besançon Technische Universitat Wien Wien Wien AT Vienna University of Technology EMCE Vienna Austria National Tsing Hua University Hsinchu TW III-V Lab CEA Leti France III-V Lab a joint lab of ‘Alcatel-Lucent Bell Labs France’ ‘Thales Research and Technology’ and ‘CEA Leti’ Campus Polytechnique 1 Avenue A. Fresnel 91767 Palaiseau cedex France CEA LETI Minatec France Photonics Research Group Ghent University-IMEC Ghent Belgium

We present our recent work on high speed silicon optical modulators developed within the UK silicon photonics and HELIOS projects. Examples of their integration with other photonic and electronic elements are also pre... 详细信息

关键词： Silicon Optical modulation Optical device fabrication Optical ring resonators Optical transmitters Photonics

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The Remote Sensing image Enhancement Algorithm Based on NSCT and Grayscale Morphology

The Remote Sensing Image Enhancement Algorithm Based on NSCT...

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2012 4th International Conference on Environmental Science and Information Application Technology(ESIAT 2012)

作者： Xiaoting Pu Zhenhong Jia Liejun Wang Jie Yang Raphael Hu College of Information Science and Engineering Xinjiang University Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Knowledge Engineering and Discovery Research Institute Auckland University of Technology

In order to restrain pseudo-Gibbs phenomenon, low contrast and blurred phenomenon in the process of image enhancement, a new method based on the Nonsubsampled Contourlet Transform (NSCT) and Grayscale Morphology is proposed in this paper. The proposed method utilizes the shift-invariance of NSCT to restrain the pseudo-Gibbs phenomenon. The results obtained with the proposed method are superior to histogram equalization and contourlet method in detail and vision of the image.

关键词： Remote Sensing image image Enhancement Nonsubsampled Contourlet Transform Unsharp Masking

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image Denoising Based on NSCT Domain with an Optimal Threshold and Neighbouring Window

Image Denoising Based on NSCT Domain with an Optimal Thresho...

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2012 4th International Conference on Environmental Science and Information Application Technology(ESIAT 2012)

作者： Juan Yang Zhenhong Jia Xizhong Qin Jie Yang Yingjie Hu College of Information Science and Engineering Xinjiang University Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Knowledge Engineering and Discovery Research Institute Auckland University of Technology

By considering the advantage of Nonsubsampled Contourlet Transform(NSCT),while Commonly used NeighShrink algorithm uses a suboptimal universal threshold and identical neighbouring window size in all wavelet subbands. In this paper,A novel image denoising algorithm based on an improved method, which can determine an optimal threshold and neighbouring window size for every NSCT subband by the Stein's unbiased risk estimate (SURE).The proposed method can effectively reduce Gaussian noise in remote sensing image and improve the image of the peak signal-to-noise ratio,This method utilizes the redundant and translation invariant of NSCT transform to inhibit the effect of pseudo Gibbs, and preserves the image texture and edge detail informations, thus obviously ameliorate the visual effect of the image.

关键词： image denoising, redundant, Nonsubsampled Contourlet Transform, adaptive, Neighbourhood

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The influence of hubness on nearest-neighbor methods in object recognition

The influence of hubness on nearest-neighbor methods in obje...

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2011 IEEE 7th International Conference on Intelligent Computer Communication and processing, ICCP 2011

作者： Tomašev, Nenad Brehar, Raluca Mladenić, Dunja Nedevschi, Sergiu Artificial Intelligence Laboratory Jožef Stefan Institute Ljubljana Slovenia Image Processing and Pattern Recognition Group Technical University of Cluj-Napoca Romania

ISBN: (纸本)9781457714788

Object recognition from images is one of the essential problems in automatic image processing. In this paper we focus specifically on nearest neighbor methods, which are widely used in many practical applications, not necessarily related to image data. It has recently come to attention that high dimensional data also exhibit high hubness, which essentially means that some very influential data points appear and these points are referred to as hubs. Unsurprisingly, hubs play a very important role in the nearest neighbor classification. We examine the hubness of various image data sets, under several different feature representations. We also show that it is possible to exploit the observed hubness and improve the recognition accuracy. © 2011 IEEE.

关键词： Object recognition

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Incremental-decremental algorithm for computing AT-models and persistent homology

Incremental-decremental algorithm for computing AT-models an...

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Lecture Notes in Computer Science

作者： Gonzalez-Diaz, Rocio Ion, Adrian Jimenez, Maria Jose Poyatos, Regina School of Computer Engineering University of Seville Spain Pattern Recognition and Image Processing Group Vienna University of Technology Austria Institute of Science and Technology Austria

ISBN: (纸本)9783642236716

In this paper, we establish a correspondence between the incremental algorithm for computing AT-models [8,9] and the one for computing persistent homology [6,14,15]. We also present a decremental algorithm for computing AT-models that allows to extend the persistence computation to a wider setting. Finally, we show how to combine incremental and decremental techniques for persistent homology computation. © 2011 Springer-Verlag.

关键词： Computers

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Remote sensing image denoising based on the combination of the improved BiShrink and DTCWT

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Guangdianzi Jiguang/Journal of Optoelectronics Laser 2012年第6期23卷 1201-1205页

作者： Li, Ming-Hui Jia, Zhen-Hong Yang, Jie Hu, Raphael Li, Dian-Jun College of Information Science and Engineering Xinjiang University Urumuqi 830046 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China Knowledge Engineering and Discovery Research Institute Auckland University of Technology Auckland 1020 New Zealand

By considering the advantages of the dual tree complex wavelet transfer (DTCWT) in shift invariance and multi-direction selection, as well as the neighboring coefficients of DCTWT, an improved bivariate shrinkage (BiShrink) algorithm is presented to denoise the remote sensing images. Experimental results show that the proposed algorithm gets better peak signal-to-noise ratio (PSNR) than other methods obviously. In terms of visual quality, the proposed algorithm can achieve images with more details and edges, smooth profiles and restricted aliasing.

关键词： Trees (mathematics)

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Sampling step importance in hierarchical semantic segmentation of microscopic images

Sampling step importance in hierarchical semantic segmentati...

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15th International Conference on System Theory, Control and Computing, ICSTCC 2011

作者： Smochina, Cristian Manta, Vasile Kropatsch, Walter Department of Computer Science and Engineering Gheorghe Asachi Technical University of Iasi Romania Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Vienna University of Technology Austria

ISBN: (纸本)9781457711732

The objective of semantic segmentation in microscopic images is to extract the cellular, nuclear or tissue components. This problem is challenging due to the large variations of these components features (size, shape, orientation or texture). In this paper we improve the technique presented in [17] used to identify the epithelial nuclei (crypt) against interstitial nuclei in microscopic images taken from colon tissues. In the proposed enhanced approach, the crypt inner boundary is detected using the closing morphological pyramid instead of morphological hierarchy. The outer crypt border is determined by the epithelial nuclei, overlapped by the maximal isoline of the inner boundary. The use of sampling in building the pyramid offers computational efficiency, reduces the amount of used memory, increase the robustness and preserve the quality results. An analysis of the two approaches is performed considering the number of pixels processed to create each level. Also the relation between the levels of the hierarchical structures is established. © 2011 Faculty of Auto Control.

关键词： Computational efficiency

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Hierarchical interactive image segmentation using irregular pyramids

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2011年 6658 LNCS卷 245-254页

作者： Gerstmayer, Michael Haxhimusa, Yll Kropatsch, Walter G. Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Vienna University of Technology Austria

ISBN: (纸本)9783642208430

In this paper we describe modifications of irregular image segmentation pyramids based on user-interaction. We first build a hierarchy of segmentations by the minimum spanning tree based method, then regions from different (granularity) levels are combined to a final (better) segmentation with user-specified operations guiding the segmentation process. Based on these operations the users can produce a final image segmentation that best suits their applications. This work can be used for applications where we need accuracy in image segmentation, in annotating images or creating ground truth among others. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： image segmentation

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The influence of hubness on nearest-neighbor methods in object recognition

The influence of hubness on nearest-neighbor methods in obje...

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IEEE International Conference on Intelligent Computer Communication and processing (ICCP)

作者： Nenad Tomašev Raluca Brehar Dunja Mladenić Sergiu Nedevschi Jožef Stefan Institute Artificial Intelligence Laboratory Ljubljana Slovenia Image Processing and Pattern Recognition Group Technical University of Cluj-Napoca Romania

关键词： Feature extraction Object recognition Entropy Histograms Visualization image color analysis Shape

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Perceptual prediction for bionically inspired autonomous agents

Perceptual prediction for bionically inspired autonomous age...

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AFRICON Conference

作者： Clemens Muchitsch Alexander Wendt Klaus Doblhammer Dietmar Bruckner Jana Machajdik Institute of Computer Technology Vienna University of Technology Vienna Austria Institute of Computer Aided Automation Pattern Recognition and Image Processing Group Vienna University of Technology Vienna Austria

To manage the increasing volume of data per time unit, achievements in information processing and artificial intelligence were made. But still the complex processes of human perception and scenario recognition are not fully understood and still far from implementation in technical applications. The contribution of this article to the field of cognitive automation is the concept of prediction for perceptual- and scenario-recognition frameworks. It is a model where prediction originates from neuro-psychoanalytical theories. Inspired by experience-based planning, which is used by the psychoanalytical decision unit, the prediction of possible outcomes from scenarios can be used for proactive acting. It results in a higher detection rate and a faster performance for recognition-units. This first implementation shows the possibilities of the concept and gives an outlook of the performance as soon as the system is fully integrated in the decision-unit.

关键词： Humans Knowledge based systems Conferences TV Educational institutions Brain modeling Decision making

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