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International Symposium on Signals, Circuits and Systems (ISSCS)

作者： Ming Z. Zhang Ming-Jung Seow Li Tao Vijayan K. Asari Computational Intelligence and Machine Vision Laboratory Department of Electrical and Computer Engineering Old Dominion University Norfolk VA USA

A novel architecture for performing hue-saturation-value (HSV) domain enhancement of digital color images with non-uniform lighting conditions is proposed in this paper for video streaming applications. The approach promotes log-domain computation to eliminate all multiplications, divisions and exponentiations utilizing the effective logarithmic estimation modules. An optimized quadrant symmetric architecture is incorporated into the design of homomorphic filter for the enhancement of intensity value. Efficient modules are also presented for conversion between RGB and HSV color spaces. The design is able to bring out details hidden in shadow regions of the image. It is capable of producing 187.86 million outputs per second (MOPs) on Xilinx's Virtex II XC2V2000-4ff896 field programmable gate array (FPGA) at a clock frequency of 187.86 MHz. It can process over 179.1 (1024 X 1024) frames per second and consumes approximately 70.7% and 76.8% less hardware resource with 127% and 280% performance boost when compared to the designs with machine learning algorithm [10], and with separated dynamic and contrast enhancements [11], respectively.

关键词： Streaming media computer architecture Field programmable gate arrays Color Design optimization Filters Image converters Clocks Frequency Hardware

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An area efficient modular architecture for real- time detection of multiple faces in video stream

An area efficient modular architecture for real- time detect...

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International Conference on Information, Communications and Signal Processing

作者： Hau T. Ngo Richard Cortland Tompkins Jacob Foytik Vijayan K. Asari Computational Intelligence and Machine Vision Laboratory Department of Electrical and Computer Engineering Old Dominion University Norfolk VA USA

Design of an efficient modular architecture for detection of multiple faces in video stream is presented in this paper. Face detection is the first step in many surveillance and security applications such as face recognition, face authentication for banking and security access control, monitoring and tracking, etc. The algorithm used for this hardware design is the Viola-Jones algorithm, which has proven to be very effective and fast. The hardware design employs a modular approach in an efficient memory management strategy for this memory-intensive application. The proposed design is targeted for a low-cost FPGA prototype board from Altera (DE2 board) for a cost-effective face detection system. The proposed approach utilizes the on-chip memory module to reduce accesses to external memory chip for improved performance in the application.

关键词： Face detection Streaming media Security Hardware Surveillance Face recognition Authentication Banking Access control Monitoring

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P4-116: The effect of the H1 haplotype of the MAPT gene on the brain structure of healthy individuals

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Alzheimer's & Dementia 2008年第4期4卷 T703-T703页

作者： Elisa Canu Marina Boccardi Cristina Testa Michela Pievani Roberta Ghidoni Luisa Benussi Matteo Bonetti Giuliano Binetti Giovanni B. Frisoni LENITEM-IRCCS-S. Giovanni di Dio-Fatebenefratelli Brescia Italy Machine Vision Laboratory Department of Mathematics and Computer Science University of Udine Udine Italy Laboratory of Neurobiology - IRCCS-S. Giovanni di Dio-Fatebenefratelli Brescia Italy Service of Neuroradiology Istituto Clinico Città di Brescia Brescia Italy Psychogeriatric Ward-IRCCS Centro S. Giovanni di Dio - Fatebenefratelli Brescia Italy.

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Gene Expression Clustering: a Novel Graph Partitioning Approach

Gene Expression Clustering: a Novel Graph Partitioning Appro...

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International Joint Conference on Neural Networks (IJCNN)

作者： Yanhua Chen Ming Dong Manjeet Rege Machine Vision and Pattern Recognition Laboratory Department of Computer Science Wayne State University Detroit MI USA

In order to help understand how the genes are affected by different disease conditions in a biological system, clustering is typically performed to analyze gene expression data. In this paper, we propose to solve the clustering problem using a graph theoretical approach, and apply a novel graph partitioning model -isoperimetric graph partitioning (IGP), to group biological samples from gene expression data. The IGP algorithm has several advantages compared to the well-established spectral graph partitioning (SGP) model. First, IGP requires a simple solution to a sparse system of linear equations instead of the eigen-problem in the SGP model. Second, IGP avoids degenerate cases produced by spectral approach to achieve a partition with higher accuracy. Moreover, we integrate unsupervised gene selection into the proposed approach through two-way ordering of gene expression data, such that we can eliminate irrelevant or redundant genes in the data and obtain an improved clustering result. We evaluate our approach on several well-known problems involving gene expression profiles of colon cancer and leukemia subtypes. Our experiment results demonstrate that IGP constantly outperforms SGP and produces a better result that is closer to the original labeling of sample sets provided by domain experts. Furthermore, the clustering accuracy is improved significantly when IGP is integrated with the unsupervised gene (feature) selection.

关键词： Gene expression Biological system modeling Diseases Biological systems Data analysis Performance analysis Clustering algorithms Partitioning algorithms Equations Colon

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P3-250: The APOE-E4 allele is associated with greater atrophy of the temporal cortex in Alzheimer's disease: An in vivo MRI study

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Alzheimer's & Dementia 2008年第4期4卷 T594-T595页

作者： Michela Pievani Cristina Testa Francesca Sabattoli Matteo Bonetti Kiralee M. Hayashi Paul M. Thompson Giovanni B. Frisoni IRCCS Centre “S. Giovanni di Dio” Fatebenefratelli Brescia Italy Neuroimaging Research Unit Department of Neurology Scientific Institute and University Ospedale San Raffaele Milano Italy Machine Vision Laboratory Department of Mathematics and Computer Science University of Udine Udine Italy Service of Neuroradiology Istituto Clinico Città di Brescia Brescia Italy Laboratory of Neuroimaging Department of Neurology UCLA School of Medicine Los Angeles CA USA Psychogeriatric Ward - IRCCS Centro San Giovanni di Dio - FBF Brescia Italy.

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A two-phased object orientation controller on soft finger operations

A two-phased object orientation controller on soft finger op...

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2007 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Takahiro Inoue Shinichi Hirai Faculty of Computer of Systems Engineering for Sports Computer Science and Systems Engineering Okayama Prefectural University Soja Okayama Japan Laboratory for Integrated Machine Intelligence and Faculty of Department of Robotics Ritsumeikan University Japan

The greatest characteristic of soft-fingered manipulation is its softness and flexibility during manipulating operations. In previous works, this intrinsic property had been quantitatively explained from the viewpoint of physical and mechanical perspective that the deformation energy induced by large elastic distortion automatically has a minimum equilibrium point. Hence this report first derive equations of motion of two-fingered soft finger robotic hand on the basis of energy- based analysis, and explain that an equilibrium point on a combined energy function exists even in the case of manipulating motions by the hand. In this paper, the equilibrium point is called LMEEwC that is unfolded as local minimum of elastic energy with constraints. Next, we show that the posture control of a rigid object grasped by the minimal degrees-of-freedom hand can easily be achieved by applying a two-phased controller associated with each joint angle of the hand, which is newly proposed in this report. This control scheme is constructed by two parts: a PD controller with respect to the finger angle and an integral controller with respect to the orientation of the grasped object. The characteristics of the control method of the latter part is that the desired joint angle of the hand is produced dynamically by the integral controller with respect to the object orientation. Finally, we clarify the effectiveness of the proposed control method in the case of the soft-fingered manipulation.

关键词： Fingers Equations Force control Motion analysis Grasping Systems engineering and theory Linear feedback control systems Force feedback Robot kinematics Intelligent robots

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A probabilistic framework for content-based diagnosis of retinal disease

A probabilistic framework for content-based diagnosis of ret...

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29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07

作者： Tobin, Kenneth W. Abdelrahman, Mohamed Chaum, Edward Govindasamy, V. Priya Karnowski, Thomas P. IEEE Image Science and Machine Vision Group Oak Ridge National Laboratory Oak Ridge TN 37831-6075 United States Electrical and Computer Engineering Dept. Tennessee Tech. University Cookeville TN 38505-0001 United States Department of Retinal Diseases Hamilton Eye Institute University of Tennessee Memphis TN 38163 United States

ISBN: (纸本)1424407885

Diabetic retinopathy is the leading cause of blindness in the working age population in the industrialized world. computer assisted analysis has the potential to assist in the early detection of diabetes by regular screening of large populations. The widespread availability of digital fundus cameras today is leading to the accumulation of large image archives of diagnosed patient data that captures historical knowledge of retinal pathology. Through this research we are developing a content-based image retrieval method to verify our hypothesis that retinal pathology can be identified and quantified from visually similar retinal images in an image archive. We will present diagnostic results for specificity and sensitivity on a population of 395 fundus images representing the normal fundus and 14 stratified disease states. © 2007 IEEE.

关键词： Diseases

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Stable manipulation mechanisms on soft fingers

Stable manipulation mechanisms on soft fingers

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Takahiro Inoue Shinichi Hirai Department of Systems Engineering for Sports Computer Science and Systems Engineering Okayama Prefectural University Soja Okayama Japan Laboratory for Integrated Machine Intelligence and Faculty of Department of Robotics Ritsumeikan University Japan

This paper verifies the physical mechanisms of stable grasping and robust manipulation by means of soft-fingered robotic hand. First, we extend our previous one-dimensional fingertip model to a two-dimensional one, adding lateral deformation of the virtual spring placed within the soft fingertip. We mention the physical meaning of LMEE(local minimum of elastic potential energy) and LMEEwC (LMEE with Constraints) on the two-fingered hand. Second, we simulate the behavior of a grasped object by numerically solving static equilibrium relation. Finally, we show that the concept of LMEEwC is critical to the robust manipulation and for reducing the degrees-of-freedom of the robotic hand in the manipulation.

关键词： Fingers

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Search Difficulty of Two-Connected Ring-based Topological Network Designs

Search Difficulty of Two-Connected Ring-based Topological Ne...

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IEEE Symposium on Foundations of Computational intelligence, FOCI

作者： Beatrice Ombuki-Berman Mario Ventresca Computer Science Department Brock University Saint Catharines ONT Canada Pattern Analysis and Machine Intelligence (PAMI) laboratory in the Systems Design Engineering Department University of Waterloo Waterloo ONT Canada

Ring-based network design problems have many important applications, especially in the fields of logistics and telecommunications. This paper focuses on the recently proposed two-connected network with bounded rings problem. We investigate the search difficulty of both the Euclidean edge and unit edge length ring size bounds flavors of this problem by performing an information-theoretic fitness landscape analysis for several instances of the problem. Our results further confirm the hypothesis that the unit edge length version of the problem is indeed more difficult. The investigation also further reveals that smaller sized ring bounds lead to harder problems for Euclidean edge lengths. However, for unit edge lengths we did not establish such a relationship

关键词： Logistics Performance analysis Telecommunication network topology Costs Telecommunication traffic Computational intelligence Information analysis Helium Abstracts Design optimization

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An adaptive and non linear technique for enhancement of extremely high contrast images

An adaptive and non linear technique for enhancement of extr...

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35th Applied Imagery and Pattern Recognition Workshop, AIPR 2006

作者： Arigela, Saibabu Asari, K. Vijayan Computational Intelligence and Machine Vision Laboratory Department of Electrical and Computer Engineering Old Dominion University Norfolk VA United States

ISBN: (纸本)0769527396

In night time surveillance, there is a possibility of having extremely bright and dark regions in some image frames of a video sequence. A novel non linear image enhancement algorithm for digital images captured under such extremely non-uniform lighting conditions is proposed in this paper. The new technique constitutes three processes viz. adaptive intensity enhancement, contrast enhancement and color restoration. Adaptive intensity enhancement uses a specifically designed nonlinear transfer function which is capable of reducing the intensity of bright regions and at the same time enhancing the intensity of dark regions. Contrast enhancement tunes the intensity of each pixels magnitude based on its surrounding pixels. Finally, a linear color restoration process based on the chromatic information of the input image frame is applied to convert the enhanced intensity image back to a color image. © 2006 IEEE.

关键词： Pixels

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