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A modified technique for smart textural feature selection to extract retinal regions of interest using image pre-processing

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Journal of Physics: conference Series 2018年第1期1096卷

作者： N Yu Ilyasova A S Shirokanev R A Paringer A V Kupriyanov A V Zolotarev Samara National Research University Moskovskoe shosse st. 34 Samara Russia 443086 Image Processing Systems Institute - Branch of the Federal Scientific Research Centre 'Crystallography and Photonics' of Russian Academy of Sciences Molodogvardeyskaya str. 151 Samara Russia 443001 Samara State Medical University Chapayevskaya st. 89 Samara Russia 443066

To increase the efficiency of the laser coagulation surgery the problem of the most accurate segmentation of fundus images is especially relevant. Fundus image segmentation is carried out with high accuracy using effective features and the minimum number of parameters for segmentation of a single image fragment. This paper describes a modified technique for smart textural feature selection to extract retinal regions of interest using image preprocessing algorithms. Preprocessing algorithms significantly influence the selected features which provide a minimum error of object recognition. In addition image preprocessing algorithms provide a more precise object selection. The informativeness of the obtained feature space is studied using discriminant data analysis. The best fragmentation block size segmentation and feature sets provides the necessary accuracy to identify regions of interest. Those regions are determined by the analysis of the following 4 classes of fundus images: exudates, thick, thin vessels and healthy areas. The advantages and disadvantages of the considered preprocessing algorithms were identified.

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ANFIS based Color Constancy algorithms Selection System for Dark image Enhancement

ANFIS based Color Constancy Algorithms Selection System for ...

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International conference on Next Generation Intelligent systems (ICNGIS)

作者： Thasni, A. N. Deepthi, V. R. Francis, Ann Bonia RIT Dept CSE Kottayam Kerala India

ISBN: (纸本)9781509008704

This work introduces an Artificial Neuro-Fuzzy Inference System functioning as a selector of color constancy algorithms for the enhancement of dark images. The system selects among three algorithms, the White-Patch, the Gray-World and the Gray-Edge according to real content of an image. These three algorithms have been considered due to their simplicity and accurate remotion of the illuminant, further showing an outstanding color enhancement on images. The diverse image features are involved in the selection process, so the design of selector system is not a trivial task. For this reason we developed a fuzzy rule based system to model the information through simple rules. While addressing the problem of dark image enhancement this approach can handle large amount of data and is tolerant to ambiguity.

关键词： Fuzzy logic Color constancy image processing image enhancement

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On the estimation of respiration and heart rates via an IR-UWB radar: An algorithmic perspective

On the estimation of respiration and heart rates via an IR-U...

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IEEE International conference on Microwaves, Communications, Antennas and Electronic systems, COMCAS

作者： Raghed El-Bardan Dhaval Malaviya Albert Di Rienzo One Health Group LLC Chantilly Virginia USA

ISBN: (纸本)9781538631706

In this paper, an impulse radio ultra-wideband (IR-UWB) radar is used to continuously monitor a resting subject's respiration and heart rates in a noninvasive fashion in order to observe the corresponding health status. These two cardiopulmonary vital signs are inferred based on the processing of recorded waveforms that are collected by the IR-UWB radar, after getting reflected-off the resting subject's body. A novel algorithm that processes the recorded waveforms is proposed to extract these vitals' signals and, accordingly, estimate their rates. This algorithm is comprised of three major parts: i) noise reduction, ii) respiration rate extraction, and iii) heart rate extraction. Furthermore, the algorithm addresses the effects of harmonics and intermodulation between the breathing and heartbeat signals without requiring the implementation of filters. Given an alphabet of datasets that are collected on multiple subjects, numerical results are presented to corroborate the proposed algorithm's accuracy.

关键词： Heart rate Radar Frequency estimation Signal processing algorithms Time-frequency analysis Microwave antennas Estimation

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Control methods for piezomechanical robots moving in trajectories: Software and hardware

Control methods for piezomechanical robots moving in traject...

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Electrical, Electronic and Information Sciences (eStream), Open conference of

作者： Eugenijus Macerauskas Jurate Janutenaite-Bagdoniene Genadijus Kulvietis Department of Information Technologies Vilnius Gediminas technical university Vilnius Lithuania

ISBN: (纸本)9781538639993

Practical application of smart materials for moving robots enabled to solve difficult mechatronic positioning and movement problems. Movement in such systems is generated using piezoelectrical devices. Therefore, classical trajectories formation and control methods are not suitable. For these specific problems positioning and piezorobot control methods and algorithms are created. In order to practically realize these algorithms a novel software and hardware is needed. This article presents movement formation methods and movement in predefined trajectory on some plane algorithms for cylindrical piezorobot. It is shown how they can be implemented using Matlab and LabVIEW software. Trajectory movement is controlled using special software and specifically designed motion control system. Control signal is amplified by electronics hardware. It also matches industrial PXI computer to piezorobot's motion actuator which requires high voltage signal and capacitance load. The path of piezorobot is registered using image processing and computer vision technologies. The paper presents experimental results of piezorobot movement when different input data set applied. Piezorobot point-to-point movement on plane without rotation is analyzed. Such movement is created when only one electrode is excited at a time. This generates forces at every segment and their cumulative force ensures precise control of piezorobot movement direction and speed.

关键词： Trajectory MATLAB Force Monitoring Robots image processing

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Vehicle detection and identification in an unconstrained environment

Vehicle detection and identification in an unconstrained env...

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International conference on Recent Innovations in Signal processing and Embedded systems (RISE)

作者： Lavanya Herle Poonam Sharma Department of Computer Science and Engineering Visvesvarya National Institute of Technology Nagpur

ISBN: (纸本)9781509047611;9781509047604

Detection and identification of vehicles in traffic surveillance videos is very important to automate the surveillance system and also to build an intelligent transportation system. In this paper a robust method to detect and identify vehicles is proposed which deals with problem like change in illumination. Background subtraction is done using both Gaussian Mixture Model and Visual Background Extractor and supports dynamic changes in background. Vehicles are detected by finding contours in the image frame. Vehicles are tracked by assigning unique ID for each vehicles. Distance between the centroid of detected vehicle and existing vehicles is calculated. If the distance is greater than threshold value then vehicle is considered to be arrived newly and a unique ID is assigned for further tracking. Otherwise, it is the vehicle will get the same ID as in previous frame. Detected vehicle is classified using Support Vector Machine in each frame and final decision is taken when the vehicle is about to exit from the scene.

关键词： Support vector machines Feature extraction Surveillance Vehicle detection Traffic control Videos Classification algorithms

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Hessian-Assisted Supervoxel: Structure-Oriented Voxel Clustering and Application to Mediastinal Lymph Node Detection from CT Volumes

Hessian-Assisted Supervoxel: Structure-Oriented Voxel Cluste...

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conference on Medical Imaging - Computer-Aided Diagnosis

作者： Oda, Hirosha Bhatia, Kanwal K. Oda, Masahiro Kitasaka, Takayuki Iwano, Shingo Homma, Hirotoshi Takabatake, Hirotsugu Mori, Masaki Natori, Hiroshi Schnabel, Julia A. Mori, Kensaku Nagoya Univ Grad Sch Informat Sci Nagoya Aichi Japan Kings Coll London Div Imaging Sci & Biomed Engn London England Nagoya Univ Strategy Off Informat & Commun Nagoya Aichi Japan Aichi Inst Technol Fac Informat Sci Toyota Japan Nagoya Univ Grad Sch Med Nagoya Aichi Japan Sapporo Kosei Gen Hosp Sapporo Hokkaido Japan Sapporo Minami Sanjo Hosp Sapporo Hokkaido Japan Keiwakai Nishioka Hosp Nagoya Aichi Japan

ISBN: (纸本)9781510607132;9781510607149

In this paper, we propose a novel supervoxel segmentation method designed for mediastinal lymph node by embedding Hessian-based feature extraction. Starting from a popular supervoxel segmentation method, SLIC, which computes supervoxels by minimising differences of intensity and distance, we overcome this method's limitation of merging neighboring regions with similar intensity by introducing Hessian-based feature analysis into the supervoxel formation. We call this structure-oriented voxel clustering, which allows more accurate division into distinct regions having blob-, line- or sheet-like structures. This way, different tissue types in chest CT volumes can be segmented individually, even if neighboring tissues have similar intensity or are of non- spherical extent. We demonstrate the performance of the Hessian-assisted supervoxel technique by applying it to mediastinal lymph node detection in 47 chest CT volumes, resulting in false positive reductions from lymph node candidate regions. 89 % of lymph nodes whose short axis is at least 10 mm could be detected with 5.9 false positives per case using our method, compared to our previous method having 83 % of detection rate with 6.4 false positives per case. © (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

关键词： Lymphatic system image segmentation Blood vessels Chest Esophagus Feature extraction Target detection Computer aided diagnosis and therapy Information science Computer-aided diagnosis image processing algorithms and systems Lung Lung cancer

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Distributed Particle Filtering Under Real-Time Constraints

Distributed Particle Filtering Under Real-Time Constraints

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European Signal processing conference

作者： Alper Kamil Bozkurt Ali Taylan Cemgil Dept. of Computer Engineering Bogazici University Istanbul Turkey

Particle filters are powerful methods for state estimation in nonlinear/non-Gaussian dynamical systems. However due to the heavy computational requirements, they may not satisfy the real-time constraints in many applications requiring a large number of particles. By means of distributed implementation, real-time particle filtering can be achieved. However, the resampling stage in particle filters requires particle interaction which causes communication overhead. In this work, we propose a distributed resampling algorithm based on Butterfly Resampling previously described in the literature. We describe three interaction schemes (i) the complete interaction, (ii) the pairwise interaction where the nodes are constrained to communicate in pairs and (iii) the partial pairwise interaction in which only one pair is allowed to communicate. The goal is to diminish the communication cost in exchange for negligible loss of effective sample size. We conduct experiments on a cluster environment and compare our methods in terms of execution time, communication time and effective sample size. We find that the sparse interaction schemes show better performance for distributed systems and they keep the effective sample size nearly as high as the complete interaction scheme does.

关键词： Sparse matrices Real-time systems Europe Signal processing Signal processing algorithms Algorithm design and analysis RNA

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Non-iterative Filter Bank Phase (Re)Construction

Non-iterative Filter Bank Phase (Re)Construction

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European Signal processing conference

作者： Zdenek Prusa Nicki Holighaus Austrian Academy of Sciences Acoustics Research Institute Vienna Austria

Signal reconstruction from magnitude-only measurements presents a long-standing problem in signal processing. In this contribution, we propose a phase (re)construction method for filter banks with uniform decimation and controlled frequency variation. The suggested procedure extends the recently introduced phase-gradient heap integration and relies on a phase-magnitude relationship for filter bank coefficients obtained from Gaussian filters. Admissible filter banks are modeled as the discretization of certain generalized translation-invariant systems, for which we derive the phase-magnitude relationship explicitly. The implementation for discrete signals is described and the performance of the algorithm is evaluated on a range of real and synthetic signals.

关键词： Signal processing algorithms Time-frequency analysis Phase measurement Europe image reconstruction Filter banks

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A Research Tool for the Power and Performance Analysis of Sensor-Based Mobile Robots 1

A Research Tool for the Power and Performance Analysis of Se...

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1st New Generation of CAS conference (NGCAS )

作者： Harris, Christopher B. Bahar, R. Iris Auburn Univ Dept Elect & Comp Engn Auburn AL 36849 USA Brown Univ Sch Engn Providence RI 02912 USA

ISBN: (纸本)9781509064472

Contemporary sensor-based robotic systems tend to use an ad-hoc combination of off-the-shelf components for onboard computational needs. The number and type of sensors present, the number and organization of the onboard processors, and the algorithms utilized for processing high bandwidth real-time sensor data present researchers and designers with a wide range of choices for which they are currently ill-equipped to evaluate the best options. We present a co-simulation framework for sensor-based mobile robots that allows for the power and performance analysis of custom embedded computing platforms for mobile robots with a range of onboard sensors. We demonstrate the utility of our co-simulation framework by analyzing the power and performance tradeoffs for the computational subsystem of a quadrotor unmanned aerial vehicle (UAV) with onboard camera sensor performing image processing tasks while operating in a custom virtual testbed.

关键词： Robot sensing systems Computational modeling Cameras image sensors Solid modeling

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Surface reconstruction with Wavelet transformation 20

Surface reconstruction with Wavelet transformation

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20th Jubilee IEEE International conference on Intelligent Engineering systems (INES)

作者： Balla, Petra Kocsis, Peter Eigner, Gyorgy Antal, Akos BUTE Dept Mechatron Opt & Mech Engn Informat Budapest Hungary Obuda Univ Res & Innovat Ctr Physiol Controls Grp Budapest Hungary

ISBN: (纸本)9781509012169

The development in computing power highlights some forgotten algorithms, which were neglected because of their complexity and slowness on early computers. One example is the Wavelet-Transformation Profilometry (WTP) of which successful application is demonstrated in the paper. WTP is a high level signal processing method using orthogonal algorithms for huge datasets. The high performance in quality and running speed makes the described method suitable for medical image processing applications.

关键词： processing

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