Digital Image Processing Using LabView

Posada-Gómez, Rubén; Sandoval-Gonzalez, Oscar Osvaldo; Martínez-Sibaja, Albino; Portillo-Rodríguez, Otniel; Alor-Hernández, Giner

doi:10.5772/23285

Cited by 16 publications

(9 citation statements)

References 7 publications

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“…After that we extract inte vision algorithms using NI Vi algorithm we can select the c want to be able to programmat use IMAQ Overlay Rectangle image. Then we plot the tracki A program is written to com between the region of interest o load) and actual image (image application of load) [15][16][17]. T the deformation length on a program is written to compu modulus with the help of t respectively [18], [19].…”

Section: Problem Statemenmentioning

confidence: 99%

Measurement of elasticity modulus using image processing

Santhosh

Dutta

2013

2013 International Conference on Computer Communication and Informatics

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In this paper, we propose a scheme to measure the Elasticity Modulus of textile using image processing techniques, here the elasticity modulus is measured indirectly by measuring stiffness of the material. The material whose stiffness is to be measured is subjected to a known force, and the deformation caused in the material due to applied load is measured using image processing. The deformation caused depends on stiffness of the textile used, by making use of relation between stiffness and deformation we can calculate the stiffness. Using this stiffness, elasticity modulus is derived. Web camera is used for the purpose of capturing the image, which is then acquired on the LabVIEW platform for processing. The data is processed by image processing techniques to compute stiffness and elasticity. The system was subjected to test and results showed it had achieved desired objectives.

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Section: Problem Statemenmentioning

confidence: 99%

Measurement of elasticity modulus using image processing

Santhosh

Dutta

2013

2013 International Conference on Computer Communication and Informatics

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“…Understanding toilsome concepts of computer vision usually requires a full semester to know math and the basics of programming . This includes handling data structures, calculus, numerical methods, and programming libraries with specialized software modules as, for example, in MATLAB ® or LabVIEW™ . Although these programming environments fulfill their purpose in conventional courses of machine vision, they could have less sense in introductory levels or in related subjects such as robotics.…”

Section: Introductionmentioning

confidence: 99%

Making image and vision effortless: Learning methodology through the quick and easy design of short case studies

Sanguino

Webber

2018

Comp Applic In Engineering

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Learning on machine vision and image processing generally require high‐level knowledge on techniques, algorithms and programming skills. The educational process is frequently supported by formal lecture approaches assisted by object lessons or lab activities, and project‐based learning methodologies where students engage complex questions, challenges, and problems over a longer period of time. These educational approaches are not effective when applying to learners in robotics study programs or without a programming background where time and motivation are different. To address this concern, this paper presents an educational tool developed to teach the basic principles of machine vision and image processing through the design of short case studies. As the main contribution, the proposed tool allows to shorten the training time required by students—mainly beginners—without the skills in programming and deep understanding of math hidden behind each image operation. This lets to fit theoretical and practical works into short development times. To this end, we conducted an educational experience in robotics subjects with third year students of the computer science and industrial engineering degrees. As a result of this scenario, we statistically compared the teaching and learning issues, the user preferences about the tool and the student academic performance.

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“…Application specific open source tools for medical image processing are of three types-programming based, Simulation-based and GUI based [61]. Some open sources are in the form of toolkits and these toolkits can be interfaced with MATLAB/Simulink.…”

Section: B Open Source Toolkits For Medical Image Processingmentioning

confidence: 99%

Acceleration of Images via Software and Hardware using Proprietary Tools & Open Sources for Healthcare Industry

Sharma¹,

Kumar²

2017

IJIGSP

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Abstract-Medical imaging appliances play a pivotal role in preventive medicine as the industry combat to low patient expense and acquire early disease estimation using nonintrusive methods. There are proprietary software packages which provide fast development for designing image processing algorithms. Another trend is to use open source softwares. With the advancement of VLSI (Very Large Scale Integration) technology, hardware implementation has also become an alternative. Proprietary hardwares provide flexibility, efficient power and timing constraints whereas open source hardwares provide optimum quality and cost constraints. The Present study is useful for image architects, researchers, biologists to learn various proprietary and open sources softwares as well as hardwares utilized for distinct applications of the healthcare industry.

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Digital Image Processing Using LabView

Cited by 16 publications

References 7 publications

Measurement of elasticity modulus using image processing

Measurement of elasticity modulus using image processing

Making image and vision effortless: Learning methodology through the quick and easy design of short case studies

Acceleration of Images via Software and Hardware using Proprietary Tools & Open Sources for Healthcare Industry

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