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Corner detection via two-layer threshold method

Lecture Notes in Electrical Engineering 2012年 135 LNEE卷 165-171页

作者： Yang, Zhihui Han, Xiaolan Institute of Image Processing and Pattern Recognition North China University of Technology Beijing 100041 China

ISBN: (纸本)9781461421849

This paper presents a two-layer threshold method for the corner detection. The method is inspired by the classical Susan corner detection model, and the improvement is two-fold. One is the choice of the self-adaptive threshold, which can be used to detect the possible corner areas. However, since a corner has an arbitrary orientation and sometimes is disturbed by noises, we provide a series of rotate coordinate systems, the second improvement, to enhance the accuracy of our method. Experiment results show that the improved algorithm is robust and is of high efficiency. © 2012 Springer Science+Business Media, LLC.

关键词： Edge detection

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Dual-channel noise reduction via sprase representations

Dual-channel noise reduction via sprase representations

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IEEE Workshop on Multimedia Signal processing

作者： Jiancheng Zou Jingsai Liang Xin Yang Institute of Image Processing and Pattern Recognition North-China University of Technology Beijing China

An effective dual-channel noise reduction algorithm is proposed based on sparse representations. The algorithm is composed of the following steps. Firstly, overlapping patches sampled from two channels together instead of each channel one by one are trained to be a dictionary via K-SVD. Secondly, OMP(Orthogonal-Matching-Pursuit) reconstruction algorithm is applied to obtain the sparse coefficients of patches using the dictionary. Thirdly, the denoising speech can be obtained by the updated coefficients. Lastly, the above three steps are iterated to get clearer speech until some conditions are reached. Experimental results show that this algorithm performs better than that with single channel.

关键词： Dictionaries Speech Noise reduction Matching pursuit algorithms Sparse matrices Gaussian noise Discrete cosine transforms

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Maximum margin clustering on evolutionary data 12

Maximum margin clustering on evolutionary data

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21st ACM International Conference on Information and Knowledge Management, CIKM 2012

作者： Fan, Xuhui Zhu, Lin Cao, Longbing Cui, Xia Ong, Yew-Soon Advanced Analytics Institute Faculty of Engineering and Information Technology University of Technology Sydney Sydney NSW Australia Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China School of Computer Engineering Nanyang Technological University Signapore Singapore

ISBN: (纸本)9781450311564

Evolutionary data, such as topic changing blogs and evolving trading behaviors in capital market, is widely seen in business and social applications. The time factor and intrinsic change embedded in evolutionary data greatly challenge evolutionary clustering. To incorporate the time factor, existing methods mainly regard the evolutionary clustering problem as a linear combination of snapshot cost and temporal cost, and reflect the time factor through the temporal cost. It still faces accuracy and scalability challenge though promising results gotten. This paper proposes a novel evolutionary clustering approach, evolutionary maximum margin clustering (e-MMC), to cluster large-scale evolutionary data from the maximum margin perspective. e-MMC incorporates two frameworks: Data Integration from the data changing perspective and Model Integration corresponding to model adjustment to tackle the time factor and change, with an adaptive label allocation mechanism. Three e-MMC clustering algorithms are proposed based on the two frameworks. Extensive experiments are performed on synthetic data, UCI data and real-world blog data, which confirm that e-MMC outperforms the state-of-the-art clustering algorithms in terms of accuracy, computational cost and scalability. It shows that e-MMC is particularly suitable for clustering large-scale evolving data. © 2012 ACM.

关键词： Clustering algorithms

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Classification of gothic and baroque architectural elements

Classification of gothic and baroque architectural elements

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International Conference on Systems, Signals and image processing, IWSSIP

作者： Gayane Shalunts Yll Haxhimusa Robert Sablatnig Institute of Computer Aided Automation Computer Vision Laboratory University of Technology Vienna Austria Institute of Computer Graphics and Algorithms Pattern Recognition and Image Processing Lab University of Technology Vienna Austria

Architectural elements are the components and details of buildings. Their unique set, combination, design, construction technique form the architectural style of buildings. Building facade classification by architectural styles is viewed as a task of classifying separate architectural structural elements. In the scope of building facade architectural style classification the current paper targets the problem of classification of Gothic and Baroque architectural elements called tracery, pediment and balustrade. Since certain gradient directions dominate on the shape of each architectural element, discrimination between dominating gradients means classification of architectural elements and thus architectural styles. We use local features to describe gradient directions. Our approach is based on clustering and learning of local features and yields a high classification rate.

关键词： Shape Three dimensional displays Visualization Computer vision Histograms Windows

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An adaptive image denoising method based on anisotropic diffusion equation

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ICIC Express Letters 2012年第7期6卷 1877-1882页

作者： Zhang, Meng-Meng Yang, Zhi-Hui Ma, Ling Institute of Image Processing and Pattern Recognition North China University of Technology No. 5 Jinyuanzhuang Road Shijingshan District Beijing 100144 China

An adaptive filtering method based on the anisotropic diffusion equation is proposed in this paper. Firstly, the denoising principal of the anisotropic diffusion equation is studied. And then, adaptive filtering of image is realized by combining the improved image structural similarity algorithm with the anisotropic diffusion equation. Experiment results show that the improved structural similarity algorithm has good robustness and advantages in the application of adaptive filtering. © 2012 ICIC International.

关键词： Adaptive filtering

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Feedback-free and hybrid distributed video coding using neural networks

Feedback-free and hybrid distributed video coding using neur...

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International Symposium on Signal processing and Its Applications (ISSPA)

作者： Isaac Nickaein Mohammad Rahmati Saeed Shiry Ghidary Abtin Zohrabi Image Processing and Pattern Recognition Lab Amirkabir University of Technology Tehran Iran Abtin Zohrabi University of New Brunswick Canada

Distributed Video Coding (DVC) is a new class of video coding techniques with the aim of coding the decentralized video sources. While the Stanford Wyner-Ziv codec is a well-known architecture in DVC literature, one of its main drawbacks is the presence of a feedback channel from the decoder to the encoder. This feedback channel makes the use of the codec impractical in some applications. Since the only application of the feedback channel is in requesting more parity bits from the encoder, it could be omitted if the encoder estimates the required parity bits and sends them at once. In this paper, a new method of bitrate estimation using a neural network trained by a new set of features is proposed. In addition, a Hybrid mode is proposed that reduces computational complexity at the decoder in a conventional Wyner-Ziv codec.

关键词： Bit rate Decoding Encoding Estimation Video coding Neural networks Video sequences

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Detection of Billet Character in Complex Production Line Scene

Detection of Billet Character in Complex Production Line Sce...

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第三届数字制造与自动化国际会议

作者： Hong Hanyu Yu Zhejun Zhang Xiuhua Laboratory for Image Processing and Intelligent Control Wuhan Institute of Technology Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology

Character information is hard to detect in billet scene images by CCD camera. In this paper, we present a method for detection of billet characters from measurements of recursive segmented image. This recursive segmented method can be used in a wide variety of billet scenes. According to high temperature and complex scene in the rolling line, we use an effective clustering and projection characteristics to determine the terminal condition of recursive segmentation. Then we can label character candidate regions in turn by this effective characteristics, and select the regions we want to achieve. The experiments show that this method makes full use of the characteristics of region and clustering. It can improve the quality of detection, and the detection result meets the need of practical application.

关键词： image processing production line billet character

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A novel and fast method for precise license plate location from digital images based on fusion of salient features

International Journal of Digital Content Technology and its ...

引用

International Journal of Digital Content technology and its Applications 2012年第19期6卷 511-519页

作者： Wang, Ran Wang, Guoyou Liu, Jianguo Chen, Zhong Shi, Yu Image Processing and Intelligent Key Laboratory of Ministry of Education of China Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 730074 China

The license plate location technique is an important image processing step in license plate recognition system. Vehicle license plates are distinguished from backgrounds using features proposed in existing literatures. However, the effect of location is quite affected by feature selection. In this paper, we propose a method of precise license plate location fusing salient features. The method is mainly divided into three steps. First, candidate license plate regions are detected using improved Harris corner feature with much less time than traditional method. Then, candidates are sifted to only retain license plates based on two salient features named color combination and mean difference which are first proposed in this paper. Finally, the license plates are located precisely according to the projection feature. In experiment, the proposed algorithm was tested with 1942 real images captured in different environment and the license plates are successfully located as 97.6% in average with only 109ms. The experiment results demonstrates the effectiveness and efficient of our algorithm.

关键词： image processing

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Iterative data adaptive anisotropic image filtering

Iterative data adaptive anisotropic image filtering

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2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012

作者： Yang, Chang-Cai Zheng, Xin-Yi Tian, Jin-Wen Shang, Ke Tian, Xin Hao, Wei Institute for Pattern Recognition and Artificial Intelligence Science and Technology on Multi-Spectral Information Processing Laboratory Huazhong University of Science and Technology Wuhan 430074 China Electrical Engineering and Renewable Energy School China Three Gorges University Yichang 443002 China Institute of Intelligent Vision and Image Information College of Computer and Information Technology China Three Gorges University Yichang 443002 China

ISBN: (纸本)9781467314855

This paper presents a novel data-adaptive anisotropic filtering technique built on top of an iterative scheme. This new technique can preserve the original significant structures while suppressing noises to the largest extent. To achieve this goal, dominant orientation information of all gradients is used to control the local kernel adaptively. This results in elongated and elliptical contours spread along the directions of the local edge structure. With these locally adapted kernels, the smoothing is mostly effective along the edges, rather than across them. Therefore details in the original input can be preserved. The performance of the proposed data-adaptive anisotropic filter together with its iterative scheme are compared with the conventional Gaussian filter, anisotropic diffusion filter, the structure-adaptive anisotropic filter, and the iterative kernel regression scheme. The experimental results on both simulated Gaussian and Poission noisy images indicate that the proposed method performs the best, and the iterative scheme can significantly improve the performance of the noise suppressing while delivering high computation efficiency. © 2012 IEEE.

关键词： Iterative methods

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Integration of high performance silicon optical modulators

Integration of high performance silicon optical modulators

引用

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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