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International Conference on Intelligent Computation Technology and Automation, ICICTA

作者： Yazhuo Gong Pengfei Shi Institute of Digital Printing University of Shanghai for Science and Technology Shanghai China Institute of Image Processing & Pattern recognition Shanghai Jiaotong University Shanghai China

This paper presents a new reconstruction algorithm of iris image with great depth of field. First, the focus issue in image capture process is proposed, and characteristic of multi-focus iris image is discussed, which proves the feasibility of reconstruction of iris image with great depth of field based on multi-focus fusion. The proposed method uses antisymmetric biorthogonal wavelet to detect the iris texture edge, and according to the density of edge pixels, chooses the iris sub-regions of high articulation for image fusion. Finally, experimental data set compared with traditional non-fusion method is presented, and the proposed method shows its advantages in performance and practical value in registration process.

关键词： Reconstruction algorithms Focusing Lenses Cameras image edge detection Forward contracts Gray-scale Iris recognition Apertures Muscles

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Combining LPP with PCA for microarray data clustering

Combining LPP with PCA for microarray data clustering

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Congress on Evolutionary Computation

作者： Chuanliang Chen Rongfang Bie Ping Guo Department of Computer Science Beijing Normal University Beijing China Processing & Pattern Recognition Laboratory Beijing Normal University Beijing China

DNA microarray technique has produced large amount of gene expression data. To analyze these data, many excellent machine learning techniques have been proposed in recent related work. In this paper, we try to perform the clustering of microarray data by combining the recently proposed locality preserving projection (LPP) method with PCA, i.e. PCA-LPP. The comparison between PCA and PCA-LPP is performed based on two clustering algorithms, K-means and agglomerative hierarchical clustering. As we already known, clustering with the components extracted by PCA instead of the original variables does improve cluster quality. Moreover, our empirical study shows that by using LPP to perform further process the dimensions of components extracted by PCA can be further reduced and the quality of the clusters can be improved greatly meanwhile. Particularly, the first few components obtained by PCA-LPP capture more information of the cluster structure than those of PCA.

关键词： Evolutionary computation

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Extraction of complex wavelet features for iris recognition

Extraction of complex wavelet features for iris recognition

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International Conference on pattern recognition

作者： Xiaofu He Pengfei Shi Department of Computer Science and Technology East China Jiao Tong University Shanghai China Institute of Image Processing and Pattern Recognition Shandong Jiaotong University Shanghai China

ISBN: (纸本)9781424421749

This paper presents a new feature extraction method for iris recognition. Since two dimensional complex wavelet transform (2D-CWT) does not only keep wavelet transformpsilas properties of multiresolution decomposition analysis and perfect reconstruction, but also adds its new merits: approximate shift invariance, good directional selectivity for 2-D image, and limited redundancy, which are useful for iris feature extraction. So, a set of high frequency 2D-CWT coefficients are selected as features for iris recognition. The phase information of the coefficients is used for feature encoding and Hamming distance is adopted for classification. Experimental results show that the proposed algorithm can get good recognition rate.

关键词： Iris recognition Feature extraction Wavelet analysis Wavelet transforms image resolution image analysis image reconstruction Two dimensional displays Frequency Encoding

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Ancient document analysis based on text line extraction

Ancient document analysis based on text line extraction

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International Conference on pattern recognition

作者： Florian Kleber Robert Sablatnig Melanie Gau Heinz Miklas Pattern Recognition and Image Processing Group Institute of Computer Aided Automation University of Technology Vienna Vienna Austria Institute for Slavonic Studies University of Technology Vienna Vienna Austria

ISBN: (纸本)9781424421749

In order to preserve our cultural heritage and for automated document processing libraries and national archives have started digitizing historical documents. In the case of degraded manuscripts (e.g. by mold, humidity, bad storage conditions) the text or parts of it can disappear. The remaining parts of the text can be segmented and the ruling can be extrapolated with the a priori knowledge. Since the ruling defines the position of the text within a page, it can be used for layout analysis and as a basis for the enhancement of the readability. Furthermore, information about the scribe (hand) of the manuscript, its spatiotemporal origin can be gained by analyzing the ruling. This paper presents an algorithm for ruling estimation of Glagolitic texts based on text line extraction and is suitable for degraded manuscripts by extrapolating the baselines with the a priori knowledge of the ruling. The algorithm was tested on 30 pages of the Missale Sinaiticum and the evaluation was based on visual criteria.

关键词： Text analysis Degradation Algorithm design and analysis image segmentation image analysis Spatiotemporal phenomena Information analysis Data mining Software libraries Clustering algorithms

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An Algorithm for Object Function Optimization in Mutual Information-Based image Registration

An Algorithm for Object Function Optimization in Mutual Info...

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Congress on image and Signal processing, CISP

作者： Zhiguo Cao Yi Zheng Yong Wang RuiCheng Yan State key Laboratory for Multi-spectral Information Processing Technology Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

image registration is widely used in remote sensing image processing, medical image analysis and many other fields. Mutual information-based image registration technique gained much attention recently. However, during the optimization procedure, because of the influence of interpolation and the changes of overlapping areas in the images, the object function of the mutual information method may converge at local maximums so that wrong transformation parameters are generated as a result. In this paper, an improved simulated annealing–simplex method is proposed to solve this problem. Experiment results show that registration precision can reach to the sub-pixel level.

关键词： image registration Remote sensing image processing Biomedical imaging image analysis Optimization methods Interpolation Mutual information image converters Simulated annealing

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A novel 3D terrain matching algorithm based on image laser radar

A novel 3D terrain matching algorithm based on image laser r...

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7th World Congress on Intelligent Control and Automation (WCICA 2008), vol.17

作者： Junbin Gong Hua Cheng Jie Ma Jinwen Tian State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

The imaging laser radar was an ideal imaging sensor to get the high precision 3D terrain for Terrain aided navigation (TAN). For the application, decreasing the mismatching rate was very important. In this paper, the measurement model of imaging laser radar was introduced and a novel 3D terrain matching algorithm with low mismatching rate was presented. According to the theory of function orthogonal decomposition, a terrain orthogonal decomposition feature vector (TODFV), composed of the orthogonal decomposition coefficients of the digital elevation map (DEM), was employed to represent the features of the terrain. Then TODFV was used to generate an interim matching position vector (IMPV). The IMPV were utilized to do real-time confidence analysis to improve the matching confidence, and were fused to give the final matching at the last. The algorithm could effectively decrease the mismatching rate of terrain matching algorithm, and improved the reliability of TAN. Experiments showed that the algorithm was effective and robust.

关键词： Terrain matching Feature vector image laser radar

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The Design and Implement of 3D Terrain Matching Processor for image Laser Radar

The Design and Implement of 3D Terrain Matching Processor fo...

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Congress on image and Signal processing, CISP

作者： Junbin Gong Yufei Sun Hongbo Xu Jinwen Tian State Key Laboratory for Multi spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

The imaging laser radar is fine measure equipment for TAN with the ability to get the high precision 3D terrain. A 3D terrain matching processor was needed to be designed for the specifical application. In this paper, base on the specialty of the imaging laser radar, the3D terrain matching processor was designed, with scheme of DSP+FPGA calculating engine, multi-level memory system, flexible parallel architecture, and FPGA-embedded accelerators. A parallel correlating accelerator base on 2D modular systolic array and other structures were designed to improve the system performance in FPGA. In the end, with strictly abiding the rules of high-speed circuit designing, the detail physical implement was drawn out. The experiments showed that the system could work well in the harsh military environment with high real-time, high reliability, and flexible architecture.

关键词： Laser radar Optical design Radar imaging Radar equipment Radar measurements Process design Engines Parallel architectures Systolic arrays System performance

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Contrast Enhancement in Multispectral images by Emphasizing Text Regions

Contrast Enhancement in Multispectral Images by Emphasizing ...

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IAPR International Workshop on Document Analysis Systems, DAS

作者： Martin Lettner Florian Kleber Robert Sablatnig Heinz Miklas Pattern Recognition and Image Processing Group Institute for Computer Aided Automation University of Technology Vienna Vienna Austria Institute for Slavonic Studies University of Technology Vienna Vienna Austria

This paper deals with the enhancement of the readability in historic texts written on parchment. Due to mold, air, humidity, water, etc. parchment and text are partially damaged and consequently hard to read. In order to enhance the readability of the text, the manuscript pages are imaged in different spectral bands ranging from 360 to 1000 nm. The readability enhancement is based on a spectral and spatial analysis of the multivariate image data by multivariate spatial correlation. The main advantage of the method is that especially the text regions are enhanced which is provided by generating a mask image. This mask is based on the automatic reconstruction of the ruling scheme of the text pages. The method is tested on two medieval Slavonic manuscripts written on parchment.

关键词： Multispectral imaging Principal component analysis Degradation image analysis Humidity Spectral analysis Hyperspectral imaging Text analysis pattern analysis pattern recognition

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An Improved Adaptive Exponential Smoothing Model for Short-term Travel Time Forecasting of Urban Arterial Street

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自动化学报 2008年第11期34卷 1404-1409页

作者： LI Zhi-Peng YU Hong LIU Yun-Cai LIU Fu-Qiang Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 P.R. China Intelligent Transportation System Department Shanghai Electrical Apparatus Research Institute Shanghai 200063 P. R. China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 P. R. China

旅行时间的短期的预报为聪明的交通系统的成功是必要的。在这份报纸，我们考察预报模型的短期的交通的 state-of-art 并且构画出他们每个模型的基本想法，相关工作，优点和劣势。一改进适应指数的变光滑(IAES ) 模型也被建议克服以前的... 详细信息

旅行时间的短期的预报为聪明的交通系统的成功是必要的。在这份报纸，我们考察预报模型的短期的交通的 state-of-art 并且构画出他们每个模型的基本想法，相关工作，优点和劣势。一改进适应指数的变光滑(IAES ) 模型也被建议克服以前的适应指数的变光滑模型的缺点。然后，比较实验在状况和反常交通调节评估在牌照匹配获得的直接旅行时间数据(每分钟行数) 上预报模型的四个主要分支的性能的正常交通下面被执行。实验的结果证明每个模型似乎有它的自己的力量和软弱。IASE 的预报表演比在更突然预报地平线(预报的和二步) 的另外的模型优异， IASE 能够处理各种交通条件。

关键词：自适应指数平滑模型短期旅行时间预测预测方法信息处理技术城市街道设计方案

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Multi-view ear recognition based on B-Spline pose manifold construction

Multi-view ear recognition based on B-Spline pose manifold c...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Zhiyuan Zhang Heng Liu Harbin Institute of Technology (HIT)Shenzhen Graduate School Bio-computing Research Center Shenzhen China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

In this work, multi-view ear recognition problems are examined in detail. A new multi-view ear recognition approach based on B-Spline pose manifold construction in discriminative projection space which is formed by null kernel discriminant analysis (NKDA) feature extraction is presented. Many experiments and comparisons are provided to show the effectiveness of our multi-view ear recognition approach.

关键词： Ear Manifolds Spline Feature extraction Principal component analysis Kernel Construction industry

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