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Analyzing the Impact of Iridescence Strength on Animal Shape Recognition Using Computer Vision

Isabel Zhong, Kate Flowers
2020 Journal of student research  
Nonetheless, the study can suggest that the specific usage of the Ramer-Douglas-Peucker algorithm for edge and area detection through OpenCV (an open-source computer vision library) is inadequate in imitating  ...  The purpose of this project is to test whether different strengths in iridescence can impact its recognizability to animals and insects.  ...  Other existing computer vision techniques may be better suitable for accomplishing the goal of this project.  ... 
doi:10.47611/jsrhs.v9i1.1161 fatcat:jd5z2jbz4jhdfjhqhtjvjwhbq4

Predicting Compressive Strength of Cement-Stabilized Rammed Earth Based on SEM Images Using Computer Vision and Deep Learning

Piotr Narloch, Ahmad Hassanat, Ahmad S. Tarawneh, Hubert Anysz, Jakub Kotowski, Khalid Almohammadi
2019 Applied Sciences  
This paper presents an automatic method using computer vision and deep learning to solve the problem.  ...  with different compressive strengths.  ...  POIG.02.02.00-00-025/09 at the Faculty of Geology, University of Warsaw. A.S.T. would like to thank the Tempus Public Foundation for sponsoring his Ph.D. study. Also, A.S.T.'  ... 
doi:10.3390/app9235131 fatcat:wrwu7ngnbjfp7kpa3ngogt7ceu

Computer vision and artificial intelligence are emerging diagnostic tools for the clinical microbiologist

Daniel D. Rhoads
2020 Journal of Clinical Microbiology  
AI in general and computer vision in specific are emerging tools that clinical microbiologists need to study, develop, and implement in order to improve clinical microbiology.  ...  Mathison's study used computer vision AI (https://doi.org/10.1128/JCM.02053-19), but additional opportunities for AI applications exist within the clinical microbiology laboratory.  ...  to improve clinical microbiology. 73 74 Beyond parasitology, Mathison's study is an example of what is possible with the democratization of AI. 75 Computer vision represents the next frontier in  ... 
doi:10.1128/jcm.00511-20 pmid:32295889 pmcid:PMC7269399 fatcat:532qobq7qnfn7bdnjkwtuaw544

A 3D Scanning System for Inverse Analysis of Moist Biological Samples: Design and Validation Using Tendon Fascicle Bundles

Sylwia Dabrowska, Martyna Ekiert, Kaja Wojcik, Marek Kalemba, Andrzej Mlyniec
2020 Sensors  
The 3D profiles were used for the development of the 3D computational model of the sample, including surface concavities.  ...  The proposed system was validated by comparison of the cross-sectional areas calculated based on 3D models, digital caliper, and vision-based methods.  ...  There have been many studies relating to 3D imaging techniques.  ... 
doi:10.3390/s20143847 pmid:32664202 fatcat:xrslocqjpzfxhn2x3ckl5dbfxu

Digital Vision Based Concrete Compressive Strength Evaluating Model using Deep Convolutional Neural Network

Hyun Kyu Shin, Yong Han Ahn, Sang Hyo Lee, Ha Young Kim
2019 Computers Materials & Continua  
.; Ghrici, M. (2017): Analysis of the single and combined non-destructive test approaches for on-site concrete strength assessment: general statements based on a real case-study.  ...  Park, K.; Oh, H. (2017): Estimation of compressive strength of high strength concrete using non-destructive technique and concrete core strength. Applied Sciences, vol. 7, no. 12, pp. 1249.  ...  In this study, deep learning techniques were applied to examine surface images of concrete specimens in order to predict the compressive strength of the concrete.  ... 
doi:10.32604/cmc.2019.08269 fatcat:hkx5x42mtjccnc5unbedu4p2yq

A comparison framework for the evaluation of illumination compensation algorithms

Vassilios Vonikakis, Rigas Kouskouridas, Antonios Gasteratos
2013 2013 IEEE International Conference on Imaging Systems and Techniques (IST)  
This paper presents a new comparison framework, with the view to help researchers in selecting the most appropriate illumination compensation algorithm to serve as a preprocessing step in computer vision  ...  The proposed framework utilizes synthetic images, with artificial illumination degradations, which are enhanced by the tested algorithms.  ...  ACKNOWLEDGMENT This study is partially supported by the research grant for ADSC's Human Sixth Sense Programme from Singapore's Agency for Science, Technology and Research (A*STAR).  ... 
doi:10.1109/ist.2013.6729703 fatcat:fl3fok7lyjfadekl6daxmhfdzu

Contour Enhancement Benefits Older Adults with Simulated Central Field Loss

MiYoung Kwon, Chaithanya Ramachandra, PremNandhini Satgunam, Bartlett W. Mel, Eli Peli, Bosco S. Tjan
2012 Optometry and Vision Science  
The current study aims to develop both an effective image enhancement technique for peripheral vision and an efficient means for validating the technique. Methods.  ...  Progress has been difficult for two reasons: the exact nature of image enhancement that might benefit peripheral vision is not well understood, and efficient methods for testing such techniques have been  ...  The present study addressed these challenges by (1) developing a novel image enhancement technique for peripheral vision and testing its effectiveness, (2) simulating CFL in age-matched normally sighted  ... 
doi:10.1097/opx.0b013e3182678e52 pmid:22885784 pmcid:PMC3438282 fatcat:6qyeqbfpjbblhgjadpdxfxilem

Predicting Compressive Strength of Consolidated Molecular Solids Using Computer Vision and Deep Learning [article]

Brian Gallagher, Matthew Rever, Donald Loveland, T. Nathan Mundhenk, Brock Beauchamp, Emily Robertson, Golam G. Jaman, Anna M. Hiszpanski, T. Yong-Jin Han
2019 arXiv   pre-print
We explore the application of computer vision and machine learning (ML) techniques to predict material properties (e.g., compressive strength) based on SEM images of material microstructure.  ...  We compared two complementary approaches to this problem: (1) a traditional ML approach, random forest (RF), using state-of-the-art computer vision features and (2) an end-to-end deep learning (DL) approach  ...  We explored two complementary approaches to this problem: (1) a traditional machine learning approach (random forest) using state-of-the-art computer vision features and (2) an end-to-end deep learning  ... 
arXiv:1906.02130v2 fatcat:kl6en3aye5hqpnvq52hmbwuaam

Does Partial Occlusion Promote Normal Binocular Function?

Jingrong Li, Benjamin Thompson, Zhaofeng Ding, Lily Y. L. Chan, Xiang Chen, Minbin Yu, Daming Deng, Robert F. Hess
2012 Investigative Ophthalmology and Visual Science  
The effects of four strengths of Bangerter filters (0.8, 0.6, 0.4, 0.2) on letter and vernier acuity, contrast sensitivity, stereoacuity, and interocular suppression were measured in 21 observers with  ...  normal vision.  ...  The second aim of this study was to compare all three of these partial occlusion techniques in observers with normal binocular vision to determine which allows for the most robust binocular function while  ... 
doi:10.1167/iovs.12-10390 pmid:22956613 fatcat:bigxttwpm5bqpan4nq6naxwdau

Supervision and Control of Students during Online Assessments Applying Computer Vision Techniques: A Systematic Literature Review

Maritza G. Méndez-Ortega, Erick P. Herrera-Granda, Adriana E. Prado Malte, Rodolfo B. Heredia Enríquez
2021 Universal Journal of Educational Research  
The study began by addressing the issues concerned from the importance and understanding of online assessment control in the academic context to the types of computer vision algorithms and the main applications  ...  What are the main detection and monitoring tasks that computer vision algorithms are capable of performing?  ...  AI-artificial intelligence provided huge computer vision technological advances, particularly with the introduction of Boosting and CNN algorithms, providing endless number of algorithms and proposed techniques  ... 
doi:10.13189/ujer.2021.090513 fatcat:j4pytewiojegthcn2msprtjmja

Commentary on ''Toxicity Testing in the 21st Century: A vision and a Strategy''

Robert F Phalen
2010 Human and Experimental Toxicology  
techniques, computational methods, and human monitoring.  ...  Toxicity Testing in the 21st Century: A Vision and a Strategy (NRC, 2007) presents a bold plan for chemical toxicity testing that replaces whole-animal tests with cell-culture, genetic, other in-vitro  ...  In summary, the report proposes a future for regulatory toxicology (the 'vision') that involves replacing whole-animal studies with a combination of cell culture, genetic and other in vitro methods, computer  ... 
doi:10.1177/0960327109354660 pmid:20061462 fatcat:v4s2zbn7n5aspg3my4gk3lt54q

PROTOTYPE DESIGN OF SPEED DETECTION MOBILE APPLICATION FOR GOLFER'S SWING MOVEMENT USING COMPUTER VISION COMPARED TO PORTABLE RADAR AND ACCELEROMETER SYSTEMS

Bagus Wibowo, Edi Sofyan, Gembong Baskoro
2019 Proceedings of The Conference on Management and Engineering in Industry  
Prototype Design of Golf Swing Speed Detection Mobile Application (GSSDMA)/Swing Vision (SV) has been researched and developed on this thesis with computer vision technique.  ...  systems.There is a limitation on the hand phone camera speed which only have thirty frames per second (30 fps) and the maximum swing speed can be tested with this camera is 101,2 mph at the moment which  ...  If the speed measurement using hand phone camera with computer vision is accurate enough and more practicable, so will be designed an application on hand phone camera with computer vision technique.  ... 
doi:10.33555/cmei.v1i1.7 fatcat:v7mhx526y5dqxmnnqahmvzn2gi

Democratisation of Usable Machine Learning in Computer Vision [article]

Raymond Bond, Ansgar Koene, Alan Dix, Jennifer Boger, Maurice D. Mulvenna, Mykola Galushka, Bethany Waterhouse Bradley, Fiona Browne, Hui Wang, Alexander Wong
2019 arXiv   pre-print
In this paper, we undertake a SWOT analysis to study the strengths, weaknesses, opportunities, and threats of building usable ML tools for mass adoption for important areas leveraging ML such as computer  ...  Many industries are now investing heavily in data science and automation to replace manual tasks and/or to help with decision making, especially in the realm of leveraging computer vision to automate many  ...  or certification for novice users of usable ML tools with the intention of mitigating irresponsible deployment of ML algorithms in computer vision.  ... 
arXiv:1902.06804v1 fatcat:jalnwcgyuvg6pek2u4fmf2tape

Characteristics of postural sway in older adults standing on a soft surface

Hideyuki Tanaka, Teruo Uetake
2005 Journal of Human Ergology  
Anterior-posterior sway increased in the subjects who were merely standing on the foam surface independent of the vision condition.  ...  Postural responses to challenging situations were studied in older adults as they stood on a foam surface.  ...  Acknowledgements This research was supported by the Department of Lifetime Education, Fuchu City Office, Tokyo and was conducted as part of the regional contribution activities of Tokyo University of Agriculture  ... 
pmid:17393763 fatcat:bsn4yk5ucvbajojx34motrwwra

Weld Bead Performance Assessment using Image Processing during Destructive Testing by Multivision Technique through NDT methods for MS ASTM A 106 B grade material

Murthy S L, Hafeezgayasudin.K
2022 Zenodo  
From the established trend and study conducted it is evident that multivision technique and NDT methods are capable of quantifying the parameters associated with performance of wed bead joints.  ...  bead for assessment of mechanical properties during destructive testing.  ...  In the present study an attempt is made to utilize vision system to monitor weld bead status during destructive testing.  ... 
doi:10.5281/zenodo.6349888 fatcat:seaasx5thfcg7en43guwjb7oei
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