scholarly journals TEKNIK PENGOLAHAN CITRA PENGUKURAN BESARAN TEGANGAN REGANGAN PLAT PERSEGI DENGAN METODE MOIRE’ SEBAGAI SALAH SATU ALTERNATIF PENGUKURAN DALAM DESAIN INDUSTRI MANUFAKTUR

2020 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Hidayat Marlang
Keyword(s):  
Image Processing ◽  
Digital Camera ◽  
Dark Light ◽  
Binary Images ◽  
Moire Pattern ◽  
Light Pattern ◽  
Moiré Pattern ◽  
Sophisticated Equipment ◽  
Moire Method ◽  
Images Processing

Moire method is one of alternative method that can be choosen in the stress-strain measurements because it is simple and does not require sophisticated equipment nor expensive with results that is accurate enough. The object of this research is a square plate clamped all edges and given load in the middle of the plate with various value. Material deformation produced moire patterns in the form of dark-light pattern (fringes) and the image have captured using a digital camera.The image of moire pattern from digital camera then processed by MATLAB using image processing tool. Furthermore, the results processed as binary images or treshold to get a clearly visible moire pattern. Finally, stress obatined from MATLAB by using image processing tool was compared with the numerical methods.The difference obtained at average 6% for the three types of loading and at average 8.8% with the numerical method.Metode Moire menjadi pilihan dalam pengukuran perpindahan/deformasi karena lebih mudah dan tidak memerlukan peralatan yang canggih dan mahal dengan hasil yang cukup akurat. Sebagai obyek penelitian adalah plat bujursangkar yang dijepit disemua sisinya dan diberi beban terpusat ditengah-tengahnya dengan besar yang bervariasi. Pengolahan pola gelap-terang (fringes) hasil kamera digital atau images processing dilakukan dengan software MATLAB. Sebagai pembanding digunakan metode analitis dan numerik. Hasil eksperimen diperoleh melalui software MATLAB menunjukkan bahwa medan stress yang dihasilkan oleh software melalui image processing dibandingkan dengan metode analitis terdapat perbedaan rata-rata 6% untuk tiga jenis pembebanan dan 8,8% antara metode moire dengan numerik

Reproduction of Images of Convex Figures by a Set of Stored Reference Surfaces

2020 ◽  
pp. 264-288
Author(s):  
Sergey Yuzhakov
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Model ◽  
Image Processing ◽  
Data Storage ◽  
Processing System ◽  
Video Data ◽  
Binary Images ◽  
Parallel Shift ◽  
Images Processing ◽  
Digital Images Processing

Image processing is one of the important tasks of creating artificial intelligence. The methods for digital images processing are widely used by developers at this time. The parallel shift technology makes it possible to create alternative ways of describing and processing images. It involves the transformation of images not into a set of pixels, but into a set of functions that are organized in a certain way. The completeness of the system is determined by the ability to perform some basic tasks. Image processing includes image pre-processing, video data storage, various image manipulations, images restoration. This chapter discusses a mathematical model for the recovery of flat convex binary images. Images are restored on the basis of data generated by an image processing system based on parallel shift technology. Two methods are provided for determining the imaging area.

scholarly journals Moiré pattern of interference dislocations in condensate of indirect excitons

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
J. R. Leonard ◽  
Lunhui Hu ◽  
A. A. High ◽  
A. T. Hammack ◽  
Congjun Wu ◽  
...  
Keyword(s):  
Long Range ◽  
Direct Measurement ◽  
Quantum Systems ◽  
Matter Waves ◽  
Moire Pattern ◽  
Indirect Excitons ◽  
Moiré Pattern ◽  
Moiré Effect ◽  
Phase Singularities ◽  
Bose Einstein

AbstractInterference patterns provide direct measurement of coherent propagation of matter waves in quantum systems. Superfluidity in Bose–Einstein condensates of excitons can enable long-range ballistic exciton propagation and can lead to emerging long-scale interference patterns. Indirect excitons (IXs) are formed by electrons and holes in separated layers. The theory predicts that the reduced IX recombination enables IX superfluid propagation over macroscopic distances. Here, we present dislocation-like phase singularities in interference patterns produced by condensate of IXs. We analyze how exciton vortices and skyrmions should appear in the interference experiments and show that the observed interference dislocations are not associated with these phase defects. We show that the observed interference dislocations originate from the moiré effect in combined interference patterns of propagating condensate matter waves. The interference dislocations are formed by the IX matter waves ballistically propagating over macroscopic distances. The long-range ballistic IX propagation is the evidence for IX condensate superfluidity.

Moiré Pattern Formation on Porous Alumina Arrays Using Nanoimprint Lithography

2003 ◽  
Vol 15 (18) ◽  
pp. 1531-1534 ◽  
Author(s):  
J. Choi ◽  
R.B. Wehrspohn ◽  
U. Gösele
Keyword(s):  
Pattern Formation ◽  
Nanoimprint Lithography ◽  
Porous Alumina ◽  
Moire Pattern ◽  
Moiré Pattern

Observation of Fatigue Damage to Gear Tooth Using Image Processing

2007 ◽  
Author(s):  
Tomoya Masuyama ◽  
Takuya Ikeda ◽  
Satoshi Yoshiizumi ◽  
Katsumi Inoue
Keyword(s):  
Image Processing ◽  
Acoustic Emission ◽  
Strain Distribution ◽  
Cyclic Load ◽  
Early Stage ◽  
Gear Tooth ◽  
Digital Camera ◽  
Correlation Method ◽  
Point Of View ◽  
Strain Diagram

The detection of damage in early stage of fatigue is important for a reliable evaluation of gear life and strength. From this point of view, the variation of strain distribution in a tooth due to cyclic load contains useful information because the fatigue crack will initiate as a result of the accumulation of plastic strain. Meanwhile, digital image equipments are widely used in our life and the performance is in progress. We took digital pictures of cyclic loaded tooth by the digital camera and compared with the picture of no load to find displacement. The strain distribution of tooth is calculated by the correlation method using those pictures. The initiation of a micro crack is observed by the method. It is also confirmed by the detection of acoustic emission wave with higher energy. The variation of stress-strain diagram in fatigue process is presented, and this illustrates the increase of strain in the final stage of fatigue.

scholarly journals Enhanced Clean-In-Place Monitoring Using Ultraviolet Induced Fluorescence and Neural Networks

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3742 ◽  
Author(s):  
Alessandro Simeone ◽  
Bin Deng ◽  
Nicholas Watson ◽  
Elliot Woolley
Keyword(s):  
Image Processing ◽  
Digital Camera ◽  
Computation Time ◽  
Cleaning Process ◽  
Food Manufacturing ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Potential Benefits ◽  
Image Acquisition System ◽  
Nonlinear Autoregressive

Clean-in-place (CIP) processes are extensively used to clean industrial equipment without the need for disassembly. In food manufacturing, cleaning can account for up to 70% of water use and is also a heavy user of energy and chemicals. Due to a current lack of real-time in-process monitoring, the non-optimal control of the cleaning process parameters and durations result in excessive resource consumption and periods of non-productivity. In this paper, an optical monitoring system is designed and realized to assess the amount of fouling material remaining in process tanks, and to predict the required cleaning time. An experimental campaign of CIP tests was carried out utilizing white chocolate as fouling medium. During the experiments, an image acquisition system endowed with a digital camera and ultraviolet light source was employed to collect digital images from the process tank. Diverse image segmentation techniques were considered to develop an image processing procedure with the aim of assessing the area of surface fouling and the fouling volume throughout the cleaning process. An intelligent decision-making support system utilizing nonlinear autoregressive models with exogenous inputs (NARX) Neural Network was configured, trained and tested to predict the cleaning time based on the image processing results. Results are discussed in terms of prediction accuracy and a comparative study on computation time against different image resolutions is reported. The potential benefits of the system for resource and time efficiency in food manufacturing are highlighted.

3D Model Reconstruction from Multi-views of 2D Images using Radon Transform

2015 ◽  
Vol 74 (6) ◽  
Author(s):  
Siti Syazalina Mohd. Sobani ◽  
Nasrul Humaimi Mahmood ◽  
Nor Aini Zakaria ◽  
Ismail Ariffin
Keyword(s):  
Radon Transform ◽  
3D Model ◽  
Digital Camera ◽  
Computation Method ◽  
Model Reconstruction ◽  
Fixed Sequence ◽  
Model Object ◽  
3D Model Reconstruction ◽  
Images Processing ◽  
2D Images

This paper presents a simple computation method to reconstruct 3-dimensional (3D) model from a sequence of 2-dimensional (2D) images using a multiple-view camera setup. The 3D model is acquired by applying several images processing on few 2D images captured by digital camera with different angle of views. The setup for this study consisted of a digital camera mounted on a tripod stand focusing at a block of model object on a turntable with black floor and background. 36 different angles are used to capture the images where every view angle differs by ten degree (10°) with another view in a fixed sequence. The image processing applied on all 2D images to be reconstructed as 3D surface are image segmentation, Radon transform (RT), image filtering, morphological operation, edge detection, and boundary extraction. The results for 3D model reconstruction shows it is well reconstructed, with a smooth texture obtained using 3D mesh and Delaunay triangulation, while the shape is nearly identical to the original model while the remaining are distinguishable.  

scholarly journals Digital processing of leaf area of soybeans, subjected to different treatments of seeds

2020 ◽  
Vol 13 (3) ◽  
pp. 24
Author(s):  
M. L. V. Passos ◽  
J. B. C. Souza ◽  
E. A. Silva ◽  
C. A. A. C. Silva ◽  
W. S. Sousa ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Program ◽  
Leaf Area ◽  
Seed Treatment ◽  
Digital Camera ◽  
Digital Processing ◽  
Thiophanate Methyl ◽  
Beneficial Effects ◽  
Non Destructive

Digital image processing, when applied to the study of leaf area, allows the integration of the direct measurement and non-destructive, and thus preserves the integrity of the plant. The objective was the quantification of the leaf area of soybean, cv. FTS Paragominas RR, submitted to different treatments of seed with the use of the computer program ImageJ, and basic presuppositions of image processing. The experiment was conducted at the Center of Agrarian Sciences and Environmental, Federal University of Maranhão, in Chapadinha (MA), in the period from February to June 2018. The seeds of soybean 'Paragominas RR' were submitted to the technique of seed treatment, consisting of three fungicides of the active ingredients, thiophanate methyl + fluazinam, fludioxonil and carbendazim + tiram, an insecticide active ingredient fipronil and the control. The leaf area was analyzed in the growth phase, through the use of digital camera and ImageJ®. The use of the routines in the computer program ImageJ® were effective for the determination of leaf area of the soybean submitted to different treatments of the seed. The thiophanate methyl + fluazinam in the dose 200 mL per 100 kg of seeds showed beneficial effects on growth of the cv. FTS Paragominas RR, as estimated by the leaf area.

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