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

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Design of Liquid viscosity Measurement System Using Brownian Motion

Design of Liquid Viscosity Measurement System Using Brownian...

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International conference on Electrical, Electronics and Information Engineering (ICEEIE)

作者： Zulfahmi Isnaeni Prajitno, Prawito Univ Indonesia Dept Phys Depok Indonesia Indonesian Inst Sci Res Ctr Phys Serpong Indonesia

ISBN: (纸本)9781728141602

As the development of science and technology is increasing rapidly, there is one research method that plays an important role in micro-scale measurements, namely Brownian motion. Brownian motion is a phenomenon of the random movement of several particles that can be observed under the objective lens of a microscope due to collisions between particles and surrounding liquid molecules. In this study, the author will observe how the Brownian motion method can be used to determine the liquid viscosity value through the relation between the displacement of polymer particles in various concentration of the solutions and the size of polymer particles that will be used in the observation. The Brownian motion-based system was made with the aim of creating a method of measuring the viscosity of a liquid with equipment that is easier and simpler by utilizing the minimum liquid quantity (in microliters) rather than the conventional methods such as using a viscometer where the quantity of liquid used is large (in milliliters). Measurements were made using the design of optical systems such as camera (Zeiss Axiocam 105 Color) and microscope objective lens (50x magnification). Through the optical system, the movement of particles is then recorded, and the recording image results are processed using image processing algorithms in MATLAB. By using the correlation function, the trajectory of particle movement can be traced until particle displacement data are obtained for each frame (in second). From the experiments that have been conducted using 10-40% glycerin concentrations and 1-micron particle, it shows that the measured glycerin viscosities have good accuracies with the errors no more than 10%. For the measured NaCl viscosities with the concentration variations of 0%, 50%, and 100% using 1- micron particle, it also shows that it has good accuracy with the errors no more than 7%.

关键词： viscosity Brownian motion image processing correlation function glycerin NaCl

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Data collection and preliminary results on turbulence characterisation and mitigation techniques 16

Data collection and preliminary results on turbulence charac...

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conference on Electro-Optical and Infrared systems - Technology and Applications Xvi

作者： Velluet, M. -T. Bell, C. Daigle, J. -F. Dijk, J. Gladysz, S. Kanaev, A. Lambert, A. Lemaster, D. Potvin, G. Vorontsov, M. Off Natl Etud & Rech Aerosp French Aerosp Lab F-92322 Chatillon France Dstl Ft Halstead Sevenoaks TN14 7BP Kent England DRDC Valcartier Res Ctr 2459 Bravoure Rd Quebec City PQ Canada TNO POB 96864 NL-2509 JG The Hague Netherlands Fraunhofer Inst Optron Syst Technol & Image Explo Gutleuthausstr 1 D-76275 Ettlingen Germany NRL 4555 Overlook Av Washington DC 20375 USA UNSW Canberra Canberra ACT Australia US Air Force Res Lab 2241 Avion Circle Wright Patterson AFB OH 45433 USA Univ Dayton Sch Engn Intelligent Opt Lab 300 Coll Pk Dayton OH 45469 USA

ISBN: (数字)9781510630222

ISBN: (纸本)9781510630222

In the framework of NATO task group SET 226 on turbulence mitigation techniques for OA systems, a trial was conducted in the premises of RDDC-Valcartier, using indoor and outdoor facilities in September 2016. images data sets were collected under various turbulence conditions, both controllable (indoor) and natural (outdoor). The imagery of this trial was used in the Grand Challenge, where different experts were asked to process identical input data with state-of-the-art algorithms. The trial also provided a data-base to validate theoretical and numerical models. The paper will give an overview of the experiment set-up (target, sensors, turbulence screens generators.) and present some preliminary results obtained with the collected data in terms of effectiveness of image processing techniques, new methods for turbulence characterisation, modelling of laser beam propagation.

关键词： Turbulence propagation experiments image processing laser beam delivery adaptive optics

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Multi-head bidirectional attention for MRC 3

Multi-head bidirectional attention for MRC

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3rd International conference on Advances in image processing, ICAIP 2019

作者： Moges, Dagmawi Qu, Hong Fu, Mingsheng UESTC Xiyuan Ave West Hi-Tech Zone Chengdu China

ISBN: (纸本)9781450376754

Machine reading comprehension is a challenging task for natural language processing problem that usually requires both an in-depth understanding of complex interactions between the given context and the query and knowledge of the world. Reading comprehension problems require analysis of interconnected representations between context and query. SQuAD offers a large number of questions and their answers providing a testbed for evaluating machine comprehension algorithms. As the answers lie within the given context, we believe it is limiting and unnatural to represent the question or context with a single vector or apply single attention to model the interaction between the context and query. We propose an end-to-end neural multi-head bidirectional attention encoder architecture to understand the complex dependency between query and context. our experiments show a significant performance increase and faster convergence from the baseline model. © 2019 Association for Computing Machinery.

关键词： Natural language processing systems

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Construction of facial emotion database through subjective experiments and its application to deep learning-based facial image processing 17

Construction of facial emotion database through subjective e...

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17th image processing: algorithms and systems conference, IPAS 2019

作者： Takanashi, Tomoyuki Hirai, Keita Horiuchi, Takahiko Department of Imaging Sciences Chiba University 1-33 Yayoi-cho Inage-ku Chiba-shi Chiba263-8522 Japan

As the development of interactive robots and machines, studies to understand and reproduce facial emotions by computers have become important research areas. For achieving this goal, several deep learning-based facial image analysis and synthesis techniques recently have been proposed. However, there are difficulties in the construction of facial image dataset having accurate emotion tags (annotations, metadata), because such emotion tags significantly depend on human perception and cognition. In this study, we constructed facial image dataset having accurate emotion tags through subjective experiments. First, based on image retrieval using the emotion terms, we collected more than 1,600,000 facial images from SNS. Next, based on a face detection image processing, we obtained approximately 380,000 facial region images as "big data." Then, through subjective experiments, we manually checked the facial expression and the corresponding emotion tags of the facial regions. Finally, we achieved approximately 5,500 facial images having accurate emotion tags as "good data." For validating our facial image dataset in deep learning-based facial image analysis and synthesis, we applied our dataset to CNN-based facial emotion recognition and GAN-based facial emotion reconstruction. Through these experiments, we confirmed the feasibility of our facial image dataset in deep learning-based emotion recognition and reconstruction. © 2019, Society for Imaging Science and Technology.

关键词： Emotion Recognition

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Anomaly Detection and Identification Using visual Techniques in Streaming video

Anomaly Detection and Identification Using Visual Techniques...

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IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication conference (UEMCON)

作者： T.A. Wanigaaratchi V.G.T.N. vidanagama Faculty of Applied Sciences Wayamba University of Sri Lanka

ISBN: (数字)9781728196565

ISBN: (纸本)9781728196572

There are many intelligent systems and tools which uses highly efficient processing models to identify different anomalies with high accuracy. The anomaly detection is of high importance and mostly will come as an absolute requirement at high risk environments and situations. The amount of processing involved in quick decision taking systems bare high deployment costs which restricts the anomaly detection only to a selected few who are capable of building such resource centered systems. Modern world uses drones and other video feeds in order to find and keep track of any anomalous events around a specific area. But most such detection requires absolute manual attention as well as processing power to keep up with real time detection and recognition. The proposed research solution aims to automate this process and includes a two-step anomaly detection system which gives a quicker anomaly detection in an average processing unit time with an advanced recognition model with up to 90% accuracy. The deep learning model (VGG 16) together with alert system and comparison techniques on videos leads into unsupervised anomaly detection of a landscape. The system generates alerts and recognizes anomalies on the alerted video frames. The proposed solution can also be used by any source and does not require high capacity of capability system to get the optimal output. Moreover, the solution brings a simple yet sophisticated technique to address modern anomaly detection and quick alerting system.

关键词： Anomaly detection Neural networks Hidden Markov models Data models Training image color analysis Clustering algorithms

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Utilization of complex techniques for the extraction of human body parameters from uncalibrated image 19

Utilization of complex techniques for the extraction of huma...

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4th International conference on Multimedia systems and Signal processing, ICMSSP 2019

作者： Kainz, Ondrej Hudáček, Jozef Michalko, Miroslav Cymbalák, Dávid Jakab, František Petija, Rastislav DCI FEEI Technical university of Košice Letná 9 Košice Slovakia USP TECHNICOM Technical university of Košice Nemcovej 5 Košice Slovakia

ISBN: (纸本)9781450371711

The principal goal of this paper is to propose a technique that will allow extraction of human body parameters from uncalibrated image, having some known reference height. Analysis focuses on the algorithms for detection of objects from the image. The designed approaches were experimentally tested in a form of a software solution that utilizes vanishing line height extraction approach. The system allows to measure all human body skeleton model parameters from the image with known height of reference object. System utilizes recently proposed Human Body Description Format (HBDF) to store the measured results. © 2019 Association for Computing Machinery.

关键词： Extraction

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ICSOFT 2019 - Proceedings of the 14th International conference on Software Technologies

ICSOFT 2019 - Proceedings of the 14th International Conferen...

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14th International conference on Software Technologies, ICSOFT 2019

ISBN: (纸本)9789897583797

The proceedings contain 72 papers. The topics discussed include: test input partitioning for automated testing of satellite on-board image processing algorithms;designing software architecture to support continuous delivery and DevOps: a systematic literature review;performance analysis of mobile cross-platform development approaches based on typical UI interactions;quantitative metrics for mutation testing;quality aspects of serverless architecture: an exploratory study on maintainability;RE4DIST: model-based elicitation of functional requirements for distributed systems;fuzz testing with dynamic taint analysis based tools for faster code coverage;and evaluating software metrics for sorting software modules in order of defect count.

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Autonomous 4DOF Robotic Manipulator Prototype for Industrial Environment and Human Cooperation 19

Autonomous 4DOF Robotic Manipulator Prototype for Industrial...

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19th IEEE International conference on Autonomous Robot systems and Competitions (ICARSC)

作者： Garcia, Ines Goncalves, Fernando Ribeiro, Tiago Fernandes, Pedro Rocha, Cesar Boucinha, Ricardo Lopes, Gil Fernando Ribeiro, A. Univ Minho Ind Elect Dept Guimaraes Portugal Univ Minho Dept Mech Engn Guimaraes Portugal Univ Minho ALGORITMI Ctr Guimaraes Portugal

ISBN: (纸本)9781728135588

This paper describes the design and development of an autonomous robotic manipulator with four degrees of freedom. The manipulator is named RACHIE - "Robotic Arm for Collaboration with Humans in Industrial Environment". The idea was to create a smaller version of the industrial manipulators available on the market. The mechanical and electronic components are presented as well as the software algorithms implemented on the robot. The manipulator has as its primary goal the detection and organization of cans by color and defects. The robot can detect a human operator so it can deliver defective cans by collaborating with him/her on an industrial environment. To be able to perform such task, the robot has implemented a machine learning algorithm, a Haar feature-based cascade classifier, on its vision system to detect cans and humans. On the handler motion, direct and inverse kinematics were calculated and implemented, and its equations are described in this paper. This robot presents high reliability and robustness in the task assigned. It is low-cost as it is a small version of commercial ones, making it optimized for smaller tasks.

关键词： Handler Robotic Manipulator 4 DOF Machine Learning can detection human cooperation human detection image processing kinematics

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Topology-preserving deep image segmentation 33

Topology-preserving deep image segmentation

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33rd Annual conference on Neural Information processing systems, NeurIPS 2019

作者： Hu, Xiaoling Fuxin, Li Samaras, Dimitris Chen, Chao Stony Brook University United States Oregon State University United States

Segmentation algorithms are prone to topological errors on fine-scale structures, e.g., broken connections. We propose a novel method that learns to segment with correct topology. In particular, we design a continuous-valued loss function that enforces a segmentation to have the same topology as the ground truth, i.e., having the same Betti number. The proposed topology-preserving loss function is differentiable and we incorporate it into end-to-end training of a deep neural network. Our method achieves much better performance on the Betti number error, which directly accounts for the topological correctness. It also performs superiorly on other topology-relevant metrics, e.g., the Adjusted Rand Index and the Variation of Information. We illustrate the effectiveness of the proposed method on a broad spectrum of natural and biomedical datasets. © 2019 Neural information processing systems foundation. All rights reserved.

关键词： Topology

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Color Normalization Approach to Adjust Nuclei Segmentation in images of Hematoxylin and Eosin Stained Tissue 6th

Color Normalization Approach to Adjust Nuclei Segmentation i...

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6th International conference on Information Technology in Biomedicine (ITIB)

作者： Piorkowski, Adam Gertych, Arkadiusz AGH Univ Sci & Technol Dept Geoinformat & Appl Comp Sci A Mickiewicza 30 Av PL-30059 Krakow Poland Cedars Sinai Med Ctr Dept Pathol & Lab Med Dept Surg Los Angeles CA 90048 USA

ISBN: (纸本)9783319912110

Lack of standards in hematoxylin and eosin (H&E) tissue staining across laboratories is one of the reasons for differences in appearance of specimens under the microscope. It also negatively impacts the performance of digital image analysis algorithms, including nuclei segmentation that is deemed to be affected the most. To alleviate this problem, we searched through the color space to find color targets to which coloration of the original H&E image can be transferred with the goal to improve performance of a baseline nuclear segmentation method. Color targets that we found were plugged into the Reinhard's color normalization algorithm to transfer the original H&E image to a new color space. The color-transferred images were then processed by two proposed approaches that subtract and subsequently threshold red and blue color channels. Implementation of these steps improved the amount of false positive pixels and splitting of clustered nuclei in the nuclear mask generated by the baseline method. The pixel-based segmentation accuracy was 94% in selected images. The performance was assessed in heterogeneous images of colon with manually delineated nuclei.

关键词： Edge detection Nuclei segmentation Cell counting image processing Color transfer Microscopy images

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