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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Hai-Hui Wang Jia-Xiong Peng Wei Wu State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)0780378652

image fusion refers to the techniques that integrate complementary information from multiple image sensor data such that the new images are more suitable for the purpose of human visual perception and the compute processing tasks. In this paper, a new image fusion algorithm based on wavelet packet transform to fuse multisensor images is presented. Discrete wavelet transform (DWT) can offer a more precise way for image analysis, than other multi-resolution analysis. It decomposes an image into low frequency band and high frequency band in different level, and it can also be reconstructed gradually in different level. But this method only decomposes low frequency band in a higher scale, so that it omits some useful details of the images. In this paper, we present a new image fusion algorithm. In the algorithm, we use discrete wavelet packet transform (DWPT) to decompose and reconstruct the images. When images are merged in wavelet packet space, different frequency ranges are processed differently. It can merge information from original images adequately and improve abilities of information analysis and feature extraction. This image fusion is performed at the pixel level. In this fusion algorithm, a feature-based fusion rule is used to combine original subimages and to form a pyramid for the fused image. Through merging remote sensing images from multi-sensor to a same object by applying method of wavelet packet analysis, we have obtained a fused picture. In this paper, mutual information is employed as a means of objective assessing image fusion performance. The experiment results show that this fusion algorithm, based on wavelet packet transform, is an effective approach in image fusion area.

关键词： Remote sensing Discrete wavelet transforms Wavelet packets image fusion Frequency image analysis Wavelet analysis image reconstruction image sensors Humans

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An Evolutionary Real-Time 3D Route Planner for Aircraft

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Chinese Journal of Systems Engineering and Electronics 2003年第1期000卷

A novel evolutionary route planner for aircraft is proposed in this paper. In the new planner, individual candidates are evaluated with respect to the workspace, thus the computation of the configuration space is not required. By using problem-specific chromosome structure and genetic operators, the routes are generated in real time,with different mission constraints such as minimum route leg length and flying altitude, maximum turning angle, maximum climbing/diving angle and route distance constraint taken into account.

关键词： Evolutionary computation Route planning Route constraints Real time Aircraft

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Improvement and invariance analysis of Zernike moments 1

Improvement and invariance analysis of Zernike moments

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1st International Conference on Communications, Circuits and Systems, ICCCAS 2002

作者： Bin, Ye Xiong, Peng Jia State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology WuhanHubei430074 China

ISBN: (纸本)0780375475

An improved Zernike moment using a region-based shape descriptor is presented. The improved Zernike moment not only has rotation invariance, but also has scale invariance that the unimproved Zernike moment does not have. The experimental results show that the improved Zernike moment has better invariant properties than the unimproved Zernike moment using a region-based shape descriptor. © 2002 IEEE.

关键词： image enhancement

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Integer Haar wavelet for remote sensing image compression

Integer Haar wavelet for remote sensing image compression

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International Conference on Signal processing Proceedings (ICSP)

作者： Wang Zhenhua Xu Hongbo Tian Yan Tian Jinwen Liu Jian Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Image Processing and Intelligent Control Huazhong University of science and Technology Wuhan China

ISBN: (纸本)0780374886

With the development of remote sensing technique, onboard data compression has become an urgent need and a lot of study has been directed toward the development of efficient techniques. In this paper, the construction approach of integer Haar is discussed briefly, and a simple image compression scheme based on the integer Haar wavelet transform and block DPCM is proposed. The scheme can be easily designed for data processing in real-time systems of remote sensing with parallel algorithms. Simulation experimental results demonstrate that the proposed approach is a efficient image compression method.

关键词： image coding Remote sensing Wavelet transforms Frequency Data compression image reconstruction Pattern recognition Artificial intelligence image processing intelligent control

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The design and implementation of a Chinese financial invoice recognition system

The design and implementation of a Chinese financial invoice...

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IEEE Region 8 International Symposium on Video/image processing and Multimedia Communications (EURASIP)

作者： Ming Delie Liu Jian Tian Jinwen State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei China

This paper designs and implements a financial invoice recognition system based on the features of the Chinese financial invoice. By using the linear whole block moving method in each vertical segment, a new fast algorithm is put forward to detect and rectify slanted images. To distinguish the different form types (the foundation necessary for locating the form fields, filtering the form lines, etc), several representative form features are discussed and an invoice-type features library is built by using a semi-automatic machine study method. On the basis of the recognized invoice type, a real invoice form is re-oriented against the corresponding blank form according to the invoice type feature, solving the problem of adhesion of characters and form lines, as well as the problem of character segmentation and recognition. Based on the financial Chinese invoice image feature, a mutual rectification mechanism founded on the recognition results of financial Chinese characters and Arabic numerals is put forward to raise the recognition rate. Finally, experimental results and conclusions are presented.

关键词： Character recognition Optical character recognition software image recognition image segmentation image processing Pattern recognition High speed optical techniques Optical filters System testing Laboratories

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Improvement and invariance analysis of Zernike moments

Improvement and invariance analysis of Zernike moments

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International Conference on Communications, Circuits and Systems (ICCCAS)

作者： Ye Bin Peng Jia Xiong State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition & Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei China

关键词： Shape Information retrieval image retrieval Content based retrieval image databases Multi-stage noise shaping Laboratories image processing intelligent control Pattern recognition

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Cooperative path planning for multiple air vehicles using a co-evolutionary algorithm

Cooperative path planning for multiple air vehicles using a ...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Chang-Wen Zheng Ming-Yue Ding Cheng-Ping Zhou State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattem Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

The coordinated path-planning problem for multiple unmanned air vehicles is studied with the proposal of a co-evolving and cooperating path planner. In the new planner, potential paths of each vehicle form their own subpopulation, and evolve only in their own sub-population, while the interaction among all sub-problems is reflected by the definition of fitness function. Meanwhile, the individual candidates are evaluated with respect to the workspace so that the computation of the configuration space is avoided. By using a problem-specific representation of candidate solutions and genetic operators, our algorithm can take into account different kinds of mission constraints and generate the solutions in real-time.

关键词： Path planning Unmanned aerial vehicles Level measurement Terrain mapping Genetics Evolutionary computation Laboratories image processing intelligent control image recognition

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Improvement and invariance analysis of Zernike moments using as a region-based shape descriptor

Improvement and invariance analysis of Zernike moments using...

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Brazilian Symposium on Computer Graphics and image processing (SIBGRAPI)

作者： Ye Bin Peng Jia-xiong Institute for Pattern Recognition & Artificial Intelligence State Key Laboratory For Image Processing & Intelligent Control Huazhong University of Science슠and슠Technology Wuhan Hubei China

An improved Zernike moment using as a region-based shape descriptor is presented. The improved Zernike moment not only has rotation invariance, but also has scale invariance that the unimproved Zernike moment does not have. The experimental results show that the improved Zernike moment has better invariant properties than unimproved Zernike moment using as region-based shape descriptor.

关键词： Shape image processing image retrieval image databases Multi-stage noise shaping intelligent control Pattern recognition Artificial intelligence Content based retrieval Trademarks

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The design and implementation of a Chinese financial invoice recognition system

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Journal of Quantitative Linguistics 2002年第1期9卷 19-33页

作者： Ming, Delie Liu, Jian Tian, Jinwen State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei Province 430074 China

This paper designs and implements a financial invoice recognition system based on the features of the Chinese financial invoice. By using the linear whole block moving method in each vertical segment, a new fast algorithm is put forth to detect and rectify the slant image. To distinguish the different form types (the foundation necessary for locating the form fields, filtering the form lines, etc.), several representative form features are discussed and an invoice-type features library is built by using a semi-automatic machine study method. On the basis of the recognized invoice type, real invoice form is re-oriented against the corresponding blank form according to the invoice type feature, solving the problem of adhesion of characters and form lines, as well as the problem of character segmentation and recognition. Based on the Chinese financial invoice image feature, a mutual rectification mechanism founded on the recognition results of Chinese financial characters and Arabic numerals is put forward to raise the recognition rate. Finally, the experimental results and conclusions are presented. © Swets & Zeitlinger.

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Automatic retinal image registration based on blood vessels feature point

Automatic retinal image registration based on blood vessels ...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Er-Hu Zhang Yan Zhang Tian-Xu Zhang School of Live Sciences and Technology Xi''an Jiaotong University China Department of Information Science Xi''an University of Technology China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huangzhong University of Science and Technology China

ISBN: (纸本)0780375084

Retinal image registration is commonly required in order to combine the complementary information in different retinal modalities images, which is very useful for clinic diagnoses and laser treatment. In the paper, an automatic scheme to register retinal images based on blood vessel feature point extraction is presented. Firstly, the crossover and branching points of the RF (red-free) retinal image and the FA (fluoroscein angiography) retinal image are extracted using a multi-direction exploratory method after the blood vessel visibility is enhanced. Considering the number of feature points extracted on different images are not equal and their location does not correspond between the retinal images, the scheme described in the paper combined the closest interval criterion between the corresponding feature points with a SVD algorithm to accurately register retinal images. Our method compared with previously known ways is an efficient and automatic scheme of retinal image registration. The experimental results indicate the registration of the fluoroscein angiography image with the corresponding red-free retinal image and a series of the fluoroscein angiography images can be also successful using our method.

关键词： Retina Blood vessels Biomedical imaging image registration Feature extraction Medical diagnostic imaging Angiography Anatomy Radio frequency Educational technology

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