3D SURFACE RECONSTRUCTION FROM A SINGLE UNCALIBRATED 2D IMAGE

2016 ◽  
Vol 78 (7-5) ◽  
Author(s):  
Siti Syazalina Mohd Sobani ◽  
Nasrul Humaimi Mahmood ◽  
Nor Aini Zakaria
Keyword(s):  
Cross Section ◽  
Radon Transform ◽  
Digital Camera ◽  
Percentage Error ◽  
Layer By Layer ◽  
3D Surface ◽  
Segmentation Methods ◽  
Fast Processing ◽  
Acquisition Device ◽  
Canny Edge

This paper described a simple computation to reconstruct 3D surface using a single uncalibrated 2D image from a digital camera as an image acquisition device that also focused on fast processing. An object is placed on a table with black background for the digital camera to shoot an image of the object. Image segmentation methods are applied in order to obtain the shape of the object from silhouette. The concept Radon transform is adopted to generate sinograms of the object and it is then inverse Radon transform is used to construct 2D cross-section of the object layer by layer. Canny edge detection helps to get the outline of each cross-section and coordinate points are extracted forming 3D point cloud from the image slices. 3D surface of the object is then reconstructed using Delaunay triangulation to connect each point with another. The results obtained from this project are satisfying regarding the processing time with recognizable shape and also strengthened with considerably low percentage error in the calculation for all six objects used in the experiment.  

Fine structure measurement in the SEM cross section of LSI using the Canny edge detector

2003 ◽  
Author(s):  
Yoshihiro Midoh ◽  
Katsuyoshi Miura ◽  
Koji Nakamae ◽  
Hiromu Fujioka
Keyword(s):  
Fine Structure ◽  
Cross Section ◽  
Edge Detector ◽  
Canny Edge Detector ◽  
Canny Edge ◽  
Structure Measurement

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 UAV-BASED 3D VIRTUAL TOUR CREATION

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 493-499
Author(s):  
U. G. Sefercik ◽  
T. Kavzoglu ◽  
M. Nazar ◽  
C. Atalay ◽  
M. Madak
Keyword(s):  
Low Cost ◽  
Three Dimensional ◽  
Digital Camera ◽  
Optimal Number ◽  
Virtual Tour ◽  
Artificial Environment ◽  
Fast Processing ◽  
Game Engines ◽  
Occlusion Culling ◽  
Mesh Models

Abstract. Lately, improvements in game engines have increased the interest in virtual reality (VR) technologies, that engages users with an artificial environment, and have led to the adoption of VR systems to display geospatial data. Because of the ongoing COVID-19 pandemic, and thus the necessity to stay at home, VR tours became very popular. In this paper, we tried to create a three-dimensional (3D) virtual tour for Gebze Technical University (GTU) Southern Campus by transferring high-resolution unmanned air vehicle (UAV) data into a virtual domain. UAV data is preferred in various applications because of its high spatial resolution, low cost and fast processing time. In this application, the study area was captured from different modes and altitudes of UAV flights with a minimum ground sampling distance (GSD) of 2.18 cm using a 20 MP digital camera. The UAV data was processed in Structure from Motion (SfM) based photogrammetric evaluation software Agisoft Metashape and high-quality 3D textured mesh models were generated. Image orientation was completed using an optimal number of ground control points (GCPs), and the geometric accuracy was calculated as ±8 mm (~0.4 pixels). To create the VR tour, UAV-based mesh models were transferred into the Unity game engine and optimization processes were carried out by applying occlusion culling and space subdivision algorithms. To improve the visualization, 3D object models such as trees, lighting poles and arbours were positioned on VR. Finally, textual metadata about buildings and a player with a first-person camera were added for an informative VR experience.

scholarly journals UNDERWATER PHOTOGRAMMETRY METHODS FOR A PECULIAR CASE-STUDY: SAN DOMENICO (PRATO-ITALY)

2015 ◽  
Vol XL-5/W5 ◽  
pp. 171-176
Author(s):  
E. Pruno ◽  
C. Marcotulli ◽  
G. Vannini ◽  
P. Drap
Keyword(s):  
Shallow Water ◽  
Spatial Relationship ◽  
Digital Camera ◽  
Underwater Archaeology ◽  
Layer By Layer ◽  
Relevant Model ◽  
Good Opportunity ◽  
Surface Survey ◽  
Peculiar Case

San Domenico Church (Prato, Tuscan, Italy) is a very peculiar case of terrestrial archaeology surveyed with underwater archaeological photogrammetric approach. The vault of the choir was completely filled by a very important numbers of potteries, which is very interesting building technique. To document this technique a complete photogrammetric survey was realized, layer by layer, following underwater archaeology system. It is interesting to note that in underwater archaeology such a case is quite rare, in fact or the wreck is in shallow water and the digging can be made (but this case is now unrealistic because in shallow water all the wreck have been stolen – or already excavated by archaeologist – !) or we are in deep water, with well conserved wreck but the depth doesn’t allow the excavation. In the last case only a surface survey is possible. Also for these reasons this particular case- study is very interesting in order to test underwater methods on real case. This experimentation is a good opportunity to develop and check methods, algorithm and software to obtain a relevant model of the site merging 3D measure and knowledge about the artefact as typology, theoretical model, spatial relationship between them. Even if this work started in 2006, with now obsolete digital camera and with a photographic campaign which not respect always the current constraints for building a dense cloud of point in photogrammetry,it is now used as a case-study for developing a relevant approach for underwater archaeology survey.

scholarly journals Complex bend of multilayered concrete rods

2019 ◽  
Vol 221 ◽  
pp. 01048
Author(s):  
Yuri Nemirovskii ◽  
Sergey Tikhonov
Keyword(s):  
Small Parameter ◽  
Cross Section ◽  
Arbitrary Shape ◽  
Solution Method ◽  
Parameter Method ◽  
Layer By Layer ◽  
Constant Cross Section ◽  
Bending Moments ◽  
Small Parameter Method ◽  
The Cross

The problem of complex bend of multilayered rods based on concrete is considered. It is assumed that the rod of constant cross-section is of arbitrary shape and different brands of concrete are used in the cross-section of the rod layer by layer. The solution is sought by the small parameter method. The case of a complex bend of the rod pinched at both ends is considered as an example of this solution method. The distribution of bending moments and longitudinal forces in the zero and first approximations is determined.

scholarly journals PREDIKSI LUAS BANGUN BERBASIS IMAGE PROSESSING ALGORITMA CANNY

2018 ◽  
Vol 8 (2) ◽  
pp. 31-42
Author(s):  
Ahmad Ahsanudin Syafawi
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Area Measurement ◽  
Percentage Error ◽  
Canny Edge Detection ◽  
Object A ◽  
Image Conversion ◽  
Measurement Results ◽  
Web Camera ◽  
Canny Edge

Dalam menentukan luas objek persegi, persegi panjang, dan lingkaran diperlukanlah sebuah penggaris untuk mendapatkan nilai luasannya, agar lebih mudah dan praktis dapat dibantu dengan sebuah web camera dengan cara mengcapture gambar sampel objek yang ingin diketahui luasnya. Image Prosessing adalah suatu proses yang digunakan untuk mengolah citra atau gambar untuk mendapatkan citra yang lebih bagus mengunakan perangkat sistem komputer. Untuk mendapatkan perolehan panjang (X,Y) dari gambar dapat diukur setelah melewati beberapa tahapan di image prosessing yaitu dengan konversi citra dari RGB, HSV dan deteksi tepi canny, lalu terdapatlah nilai luasan dari hasil pengukuran objek. Metode Canny sendiri merupakan deteksi tepi paling baik ketika digunakan untuk mendeteksi tepi objek,  sehingga hasil deteksi tepi tersebut dapat diambil informasi yang berguna dari citra tersebut. Dengan pengukuran luas secara manual dan secara otomatis terdapat presentase error kurang lebih 5%, hasil luas objek tersebut sudah cukup akurat namun terdapat masalah jika dalam pembuatan objek kurang presisi, peletakan objek yang miring/kurang tegap dan pencahayaan yang kurang mengakibatkan kurangnya tingkat akurasi.In determining the area of a square, rectangle, and circle object a ruler is needed to get the area value, so that it can be easier and more practical to be assisted by a web camera by capturing the image of the object sample that you want to know the area. Image Prosessing is a process used to process images or images to get better images using computer system devices. To get the long gain (X, Y) from the image can be measured after passing through several stages in image processing that is by image conversion from RGB, HSV and canny edge detection, then there is an area value from the object measurement results. The Canny method itself is the best edge detection when used to detect the edge of an object, so that the useful information of the edge detection can be retrieved from the image. With the area measurement manually and automatically there is a percentage error of approximately 5%, the object's width results are quite accurate but there is a problem if the object is less precise in making objects, sloping / less robust object laying and less lighting result in a lack of accuracy.

scholarly journals Application of Image Reconstruction Based on Inverse Radon Transform in CT System Parameter Calibration and Imaging

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Chun-li Wang ◽  
Hao-chi Zhang ◽  
Ze-yu Zeng ◽  
Jun-hui Yu ◽  
Yang Wang
Keyword(s):  
Radon Transform ◽  
System Parameter ◽  
Detection Algorithm ◽  
Parameter Calibration ◽  
Canny Edge Detection ◽  
Canny Edge ◽  
Ct System ◽  
Inverse Radon Transform ◽  
Canny Edge Detection Algorithm ◽  
Inverse Radon

According to the requirements of CT system parameter calibration and imaging, using OpenCV and MATLAB software, the reverse Radon transform and the Canny edge detection algorithm in the projection edge methods can determine the position and geometry of two different media in the square tray based on given data. Besides, it can apply and analyze the shape and the absorption rate of the specified point, the accuracy, and stability of the template calibration parameters by this way, which enables designing a new template and calibrating the new parameters.

A Novel Approach of Controlling Stoppage of Drip Infusion Using Image Processing on Raspberry PI Platform

2021 ◽  
Vol 58 (S) ◽  
pp. 65-72
Author(s):  
Hartono Pranjoto ◽  
Lanny Agustine ◽  
Diana Lestariningsih ◽  
Yesiana Dwi Wahyu Werdani ◽  
Widya Andyardja ◽  
...  
Keyword(s):  
Image Processing ◽  
Digital Camera ◽  
Detection Algorithm ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Raspberry Pi ◽  
Novel Approach ◽  
Pinch Valve ◽  
Canny Edge ◽  
Infusion Fluid

Intravenous drip diffusion is a common practice to treat patients in hospitals. During treatment, nurses must check the condition of the infusion bag frequently before running out of fluid. This research proposes a novel method of checking the infusion bag using an image processing technique on a compact Raspberry PI platform. The infusion monitoring system proposed here is based solely on capturing the image of the infusion bag and the accompanying bag/ tube. When the infusion fluid enters the patient, the surface of the liquid will decrease, and at the end will reach the bottom of the infusion bag. When the image of the fluid surface touches the bottom of the infusion bag, a mechanism will trigger a relay, and then activate a pinch valve to stop the flow of the infusion fluid before it runs out. The entire system incorporates a digital camera and Raspberry as the image processor. The surface of the liquid is determined using the Canny Edge Detection algorithm, and its relative position in the tube is determined using the Hough Line Transform. The raw picture of the infusion bag and the processed image are then sent via a wireless network to become part of a larger system and can be monitored via a simple smartphone equipped with the proper application, thus becoming an Internet of Things (IoT). With this approach, nurses can carry on other tasks in caring for the patients while this system substitutes some work on checking the infusion fluid.

Scanning Capacitance Microscopy Application for Bipolar and CMOS Doping Issues in Semiconductor Failure Analysis

2005 ◽  
Author(s):  
Coswin Lin ◽  
Homy Ou ◽  
Chia-Hsing Chao ◽  
Shey-Shi Lu
Keyword(s):  
Failure Analysis ◽  
Failure Mechanism ◽  
Cross Section ◽  
Layer By Layer ◽  
Localization Method ◽  
Scanning Capacitance Microscopy ◽  
Leakage Path ◽  
Schematic Cross Section ◽  
Power Leakage ◽  
Plane View

Abstract Scanning Capacitance Microscopy (SCM) has been extensively used for identifying doping issues in semiconductor failure analysis. In this paper, the root causes of two recent problems -- bipolar beta loss and CMOS power leakage -- were verified using SCM images. Another localization method, layer-by-layer circuit repair with IROBIRCH detection, was also utilized to locate possible defects. The resulting failure mechanism for bipolar beta loss is illustrated with a schematic cross section, which shows the leakage path from the emitter to the base. In the case of CMOS power leakage, the abnormal implantation of the Pwell region was identified with the Plane view SCM image.

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