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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VII"

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An application program of fingerprint detection using wavelet transform for authentication

An application program of fingerprint detection using wavele...

引用

Management and Innovation Technology International conference (MITicon)

作者： Aunchisa Kwaochai Surapong Pongyupinpanich Pratya Areekul Wimol San-Um Thai-Nichi Institute of Technology Bangkok TH Realtime Information Electronics and Embedded Systems (RIEES) Master Program of Forensic Informatics Ramkhamhang University Huamark Bangkapi Bangkok Thailand 10240 Department of Mathematics and Computer Science Chulachomklao Royal Military Academy (CRMA) Amphor Mueng Tambol Promanee Province Nakornnayok Thailand

ISBN: (纸本)9781509041060

This paper presents the application program of fingerprint detection using wavelet transform for authentication. Fingerprints are obtained from the site of crime, old documents and excavated things. This paper proposes a fingerprint recognition technique based on wavelet-based texture pattern recognition method. By collecting incomplete fingerprints of 2 people with 6 images each. The original seven of uncompleted fingerprint images were undetected and only one was detected. After enhancing image quality using wavelet transform method, it was found that those of seven images were completed. The comparison method was a matching technique. This work focuses on the ability of the program and knowledge of image processing by studying algorithms of image processing. In design algorithm process, different technique enhancements were employed as well as the study of different of filters and algorithms based on existing research results from literature.

关键词： Fingerprint recognition image matching Discrete wavelet transforms Time-frequency analysis Continuous wavelet transforms

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Cloud removal for single images based on dual tree complex wavelet transform

Cloud removal for single images based on dual tree complex w...

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International conference on Signal processing and Communication systems, ICSPCS

作者： Xifang Zhu Feng Wu Ruxi Xiang Qingquan Xu Xiaoyan Jiang Hui Li Xu Zhang Zhengzhou Xu School of Electrical & Photo-electronic Engineering Changzhou Institute of Technology Changzhou China

ISBN: (纸本)9781509009428

Clouds can obscure ground information during remote sensing imaging. Cloud removal technology for a single image becomes significant when no images containing cloud-free regions are available. After the fundamental principle of dual tree complex wavelet transform (DTCWT) was reviewed, and the frequency relationships between clouds and ground objects in remote sensing images were analyzed, a novel algorithm to remove clouds from a single remote sensing image was proposed. The algorithm divided the cloud-contaminated image into low level high frequency sub-bands, high level high frequency sub-bands and low frequency sub-band by DTCWT. The low level high frequency sub-bands were filtered to enhance the ground object information by Laplacian filtering. The other two types of sub-bands were processed to remove cloud by applying the method of cloud layer coefficient weighting (CLCW). image processing experiments were implemented. Their results were analyzed. It proved the Laplacian contributes to enhancing ground object information adaptively. CLCW has the ability to remove clouds while preserving the ground object information outside the cloud cover. The proposed algorithm is greatly superior to algorithms based on traditional wavelet transform and the wavelet threshold theory.

关键词： Wavelet transforms Filter banks Laplace equations image reconstruction Remote sensing

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Visual interactive learning system using image processing about multiple programming languages

Visual interactive learning system using image processing ab...

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IEEE Global conference on Consumer Electronics (GCCE)

作者： Pedro Xavier Contla Hiroshi Kamada Daisuke Takago Department of Media Informatics Kanazawa Institute of Technology Ishikawa Japan Department of Information and Computer Science Kanazawa Institute of Technology Ishikawa Japan

ISBN: (纸本)9781509023349

In the early years of college, students have the need to learn how to program in any programming language. It is important to see the differences between programming languages and their rules. We are proposing an interactive and self-study system for students to acquire the knowledge they need, from data structures to algorithms using multiple programming languages. The system gives the students some exercises that outputs an image. The student's image will be compared with the correct image that is in the system and the system judges the student's image will is correct or not. The students will program the exercises in the selected programming languages. Eventually the system will help students learn multiple programming languages, especially, how to solve problems regardless of programming language.

关键词： conferences Consumer electronics Computer languages image processing Decision support systems Visualization

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MULTI-image SUPER-RESOLUTION USING A DUAL WEIGHTING SCHEME BASED ON VORONOI TESSELLATION

MULTI-IMAGE SUPER-RESOLUTION USING A DUAL WEIGHTING SCHEME B...

引用

IEEE International conference on image processing

作者： Michel Batz Andrea Eichenseer Andre Kaup Multimedia Communications and Signal Processing Friedrich-Alexander University Erlangen-Niirnberg (FAU)

ISBN: (纸本)9781467399623

Increasing spatial resolution is often required in many applications such as entertainment systems or video surveillance. Apart from using higher resolution sensors, it is also possible to apply super-resolution algorithms to realize an increased resolution. Those methods can be divided into approaches that rely on only a single low resolution image or on multiple low resolution video frames. While incorporating more frames into the super-resolution is beneficial for the resolution enhancement in principle, it is also likely to introduce more artifacts from inaccurate motion estimation. To alleviate this problem, various weightings have been proposed in the literature. In this paper, we propose an extended dual weighting scheme for an interpolation-based super-resolution method based on Voronoi tessellation that relies on both a motion confidence weight and a distance weight. Compared to non-weighted super-resolution, the proposed method yields an average gain in luminance PSNR of up to 1.29 dB and 0.61 dB for upscaling factors of 2 and 4, respectively. Visual comparisons substantiate the objective results.

关键词： Resolution Enhancement image processing Multi-image Super-Resolution Voronoi Tessellation

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image reconstruction from discrete orthogonal Racah moments

Image reconstruction from discrete orthogonal Racah moments

引用

Canadian conference on Electrical and Computer Engineering (CCECE)

作者： Yexiao Wu Simon Liao Applied Computer Science The University of Winnipeg Winnipeg Manitoba

ISBN: (纸本)9781467387224

In this research, a matrix notation method to extract discrete orthogonal Racah moments is proposed to reduce the computation time. To verify this new computational method, the image reconstructions from higher orders of Racah moments are performed. Our experimental results show that the Racah moments computing time has been reduced tremendously, while the testing image can be reconstructed completely by Racah moments of orders up to 510 without any error.

关键词： image reconstruction Testing Algorithm design and analysis Signal processing algorithms Pattern recognition Real-time systems

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Automatic Detection of Laser Marks in Retinal Digital Fundus images

Automatic Detection of Laser Marks in Retinal Digital Fundus...

引用

European Signal processing conference

作者： Joao G. R. Almeida e Sousa Carlos Manta Oliveira Luis A. da Silva Cruz Department of Physics University of Coimbra Retmarker S.A. Instituto de Telecomunicacoes Department of Electrical and Computer Engineering University of Coimbra

ISBN: (纸本)9781509018918

Diabetic retinopathy (DR) is the most frequent complication of diabetes mellitus that affects vision to the point of causing blindness. In advanced stages its progress can be delayed with laser photocoagulation which leaves behind marks on the retina. Modern screening programs rely on automatic diagnostic algorithms to detect signs of DR in patients. These systems performance may be impaired when patient retina presents marks from previous laser photocoagulation treatments. Since these patients are already being treated, it is desirable to detect and remove them from the screening program. An algorithm that automatically detects the presence of laser marks in retinal images using tree-based classifiers is proposed and the results on its performance are obtained and described. Two new public accessible datasets containing retinal images with laser marks are provided in this paper.

关键词： Diabetes Biomedical image processing Feature extraction Classification algorithms Medical image processing Sorting algorithm Feature extraction Diabetes Mellitus automatic detection Laser Coagulation System performance Retinaldehyde DR Complications of Diabetes Mellitus Retinal image images

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A Tone Mapping algorithm suited for analog-signal real-time image processing

A Tone Mapping algorithm suited for analog-signal real-time ...

引用

Ph.D. Research in Microelectronics and Electronics (PRIME)

作者： Lan Shi David Hadlich Christopher Soell Thomas Ussmueller Robert Weigel Institute for Electronics Engineering University of Erlangen-Nuremberg Erlangen Germany Institute for Mechatronics University of Innsbruck Innsbruck Austria

ISBN: (纸本)9781509004942

This work presents a Tone Mapping Operator (TMO) which adjusts the High Dynamic Range (HDR) of image sensor data to the limited dynamic range of conventional displays with analog signal processing. It is based on Photographic Tone Reproduction (PTR) and suitable for analog circuit design in a CMOS image sensor in order to reduce the hardware cost and operation time for real-time image processing. For this reason, the characteristic advantage and calculation limitation of analog technology are considered in the TMO algorithm proposal. Furthermore, the appropriate modelling is built and simulated in Verilog-A. The function of the algorithm is feasible for analog processing. The frequency of the analog TMO is upper 52MHz while it consumes 55mW. The simulation results of test images are compared with the digital global TMO and the proposed analog TMO provides a reasonable similar dynamic range compression.

关键词： Signal processing algorithms image sensors Algorithm design and analysis Dynamic range Analog circuits image processing Real-time systems

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Embedded system design for automatic screening of snore during nocturnal audio recording

Embedded system design for automatic screening of snore duri...

引用

International conference on Audio, Language and image processing, ICALIP

作者： Limin Hou Qiang Pan Chen Wang School of Communication and Information Engineering Shanghai University Shanghai

ISBN: (纸本)9781509006557

Automatic snore detection system based on ARM processor has been designed in our work that only uses single microphone recording snore sound. It can assist a noninvasive and portable diagnosis for sleep apnea-hypopnea syndrome (SAHS) based on digital signal processing. The 32-bit microcontroller STM32F407 is selected as main hardware of embedded system. To make full use of the ARM resources, SAHS snore diagnosis task is decomposed into several steps with different priority. Real-time screening of snore is implemented based on recording of nocturnal snore sound. Meanwhile the SAHS snore and simple snore are discriminated by the Earth mover's distance (EMD) algorithm which is online completed. Therefore, apnea-hypopnea index (AHI: the average number of apneic events per hour of sleep) is calculated and screening result is obtained.

关键词： Sleep apnea Acoustics Microphones Hardware Signal processing algorithms Embedded systems Monitoring

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Comparative study of camshift and KLT algorithms for real time face detection and tracking applications

Comparative study of camshift and KLT algorithms for real ti...

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IEEE International conference on Research in Computational Intelligence and Communication Networks (ICRCICN)

作者： Debmalya Chatterjee Saravanan Chandran National Institute of Technology Durgapur

ISBN: (纸本)9781509010486

Face detection and tracking is one of the emerging research areas in the image analysis and computer vision systems. This face detection and tracking helps local security forces to investigate crime incidents. This paper describes a face tracking framework that is capable of tracking a face in real time rapidly frame by frame. Camshift algorithm and KLT algorithm implemented and a comparison study between these two algorithms has been described in this paper. A real time video is experimented using these two algorithms for face detection and tracking. The experimental results show that the KLT algorithm performance is better than the Camshift algorithm in detecting the face and tracking the face. In this article it has been shown how the KLT algorithm proved to be better tracking algorithm than Camshift algorithm.

关键词： Face Algorithm design and analysis Signal processing algorithms Facial features Skin Real-time systems

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A local gradient based peak search algorithm for three-dimensional rotation electron diffraction image processing

A local gradient based peak search algorithm for three-dimen...

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International conference on systems and Informatics (ICSAI)

作者： Xinzheng Dong Yixuan Wang He Yin Zhuhai College of Jilin University Zhuhai Laboratory of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Zhuhai China

ISBN: (纸本)9781509055227

Peak search for three-dimensional rotation electron diffraction image is almost the most important step in crystal structure determination. The difference of Gaussian method is the traditional approach for this task with the disadvantage that values of three tunable parameters need to be determined by users. To address this drawback, this paper presents a local gradient based peak search algorithm that needs only one tunable parameter. Experiments show that our proposed method is as effective as the difference of Gaussian method in peak detection task, but has obvious advantages in speed and convenience.

关键词： Diffraction Dogs Kernel Standards Software algorithms Shape

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