Welcome to Open Science
Contact Us
Home Books Journals Submission Open Science Join Us News
Imaging Approach for the Determination of Surfaces in Three-Dimensional Coordinates
Current Issue
Volume 5, 2018
Issue 5 (September)
Pages: 132-146   |   Vol. 5, No. 5, September 2018   |   Follow on         
Paper in PDF Downloads: 37   Since Oct. 10, 2018 Views: 994   Since Oct. 10, 2018
Authors
[1]
Mohamed Hamed, Faculty of Engineering, Port Said University, Port Said, Egypt.
[2]
Robert Massen, Transfer Center for Image Processing, Constance, Germany.
[3]
Hesham El Hendy, Faculty of Engineering, Port Said University, Port Said, Egypt.
Abstract
Recently, many research papers are appeared in the field of imaging concept in the free 3-D Cartesian coordinates so that different algorithms may be utilized. It is an economic balance problem because the application of an algorithm should be accurate, and the cost is minimum as possible. The economic balance may be achieved according to the accurate analysis for the determination of a point in the 3-D cartesian coordinates. Then, the balance will be fulfilled if the proposed algorithm can be translated for real application in a minimum cost. This paper introduces some of the modern methods concerning the image digitization to get an accurate information about the surfaces of objects in three dimensional coordinates (3D). An effective concept is proposed with a low price at the permissible standard level where its experimental implementation leads to a high rate of accuracy for the determined spread points in space. The conclusive results permit to recommend such a concept for utilization in the field of image recognition because the research is based on comparison with some other methods. The stereo vision technique with the double human eyes system (and a multiple double eyes) is inserted while all problems related to image purification are treated. The principle of mathematical transformation of 3D objects into double plane coordinates (2D) images is accounted. A calibration model is installed and used for investigation while the digital transformation matrix is defined. The mathematical formulation for obtaining the corresponding points is considered. The accuracy of the proposed approach is high relative to the others inserted in the given research. The proposed system works effectively in different situations to ensure efficient detection for many spread applications in different strategy concepts. Thus, it can be efficient way for the traffic control system in cities (either for the intersection positions or for the registering of cars in the traffic) or for the fine medical requirements of bones and others or even for the heavy industrial installations and factories for the quality control sections. Also, the security utilization may depend on such proposed system for civil safety and protection against crimes. Although the proposed system is simple, it is a highly effective application for the determination of 3D surfaces of many industrial and experimental applications such as the spark mechanism and cracking behavior in high voltage engineering for example.
Keywords
Image Processing, 3D Coordinates, Corresponding Points, Accurate Surface Determination, Mathematical Transformation Matrix, Calibration Modeling
Reference
[1]
M. Hamed: A quick neural network for computer vision of gray images, Journal of Circuits, Systems, Signal Processing, USA, ISSN 0278 - 081X, ESSN 1531 - 5878, Vol. 16, No. 1, Springer Verlag (Germany), Romeo: GREEN, 1997 (41 - 58). https://link.springer.com/content/pdf/10.1007/BF01183174.pdf
[2]
J. Gaessler: Full Range Images of 3 D Components for CAD by Optical Digitization, Ph D thesis, Coventry University, 1994.
[3]
Margaret Penney: 3D in Graphic Design, Jan 30, 2018
[4]
Rolando Miragaia, Gustavo Reis, Francisco Fernandéz, Tiago Inácio & Carlos Grilo: CGP4Matlab - A Cartesian Genetic Programming MATLAB Toolbox for Audio and Image Processing, International Conference on the Applications of Evolutionary Computation, Evo Applications 2018, pp 455-471
[5]
Layla Horrigue, Refka Ghodhbane, Taoufik Saidani and Mohamed Atri: GPU Acceleration of Image Processing Algorithm Based on Matlab CUDA, IJCSNS International Journal of Computer Science and Network Security, VOL.18 No.6, June 2018
[6]
Agence Parallèle: 7 Good Reasons for Using 3D Imaging in Advertising, 15 November 2017, http://kubstudio.com/en/7-reasons-to-use-3d-imaging-in-advertising/
[7]
Divya Sahgal, A. Ramesh & M. Parida: Real-Time Vehicle Queue Detection at Urban Traffic Intersection using Image Processing, International Journal of Engineering Science & Generic Research, 2018, Volume 4, No. 2, ISSN: 2456-043X
[8]
Dongming Zhao Songtao Li: A 3D Image Processing Method for Manufacturing Process Automation, Computers in Industry, Volume 56, Issues 8–9, December 2005, Pages 975-985, https://doi.org/10.1016/j.compind.2005.05.021 https://www.sciencedirect.com/science/journal/01663615/56/8
[9]
Mrs. A. Padmapriya, S. Vigneshnarthi: Image Processing Operations for 3d Image, International Journal of Scientific and Research Publications, Volume 2, Issue 6, June 2012, pdf 1-6, ISSN 2250-3153, http://www.ijsrp.org/
[10]
3D Image Processing Operations, https://pdfs.semanticscholar.org/2a67/ac34722c9285f90b749e02c608ee5e8f9d7b.pdf
[11]
Can Li, Miao Hu, Yunning Li, Hao Jiang, Ning Ge, Eric Montgomery, Jiaming Zhang, Wenhao Song, Noraica Dávila, Catherine E. Graves, Zhiyong Li, John Paul Strachan, Peng Lin, Zhongrui Wang, Mark Barnell, Qing Wu, R. Stanley Williams, J. Joshua Yang & Qiangfei Xia: Analogue signal and image processing with large memristor crossbars, Journal of Nature Electronics, (2018), Volume 1, pages 52–9.
[12]
P. Vuylsteke and A. Oosterlinck: Range Image Acquisition with A Single Binary-Encoded Light Pattern, IEEE PAMI, Vol. 12, No. 2, 1990.
[13]
Yuanfei Huang, Jie Li, Xinbo Gao, Lihuo He & Wen Lu: Single Image Super-Resolution via Multiple Mixture Prior Models, Published in: IEEE Transactions on Image Processing (Early Access), Sponsored by: IEEE Signal Processing Society, 1-1, DOI: 10.1109/TIP.2018.2860685
[14]
Sameeulla Khan & Sumohana S. Channappayya: Estimating Depth-Salient Edges And Its Application To Stereoscopic Image Quality Assessment, Published in: IEEE Transactions on Image Processing (Early Access), 1-1, Date of Publication: 26 July 2018, Sponsored by: IEEE Signal Processing Society, DOI: 10.1109/TIP.2018.2860279
[15]
Rong Su, Peter Ekberg, Michael Leitner and Lars Mattsson: Accurate and Automated Image Segmentation of 3D Optical Coherence Tomography Data Suffering from Low Signal-To-Noise Levels, Journal “Optical Society of America”, Vol. 31, No. 12 / December 2014.
[16]
L. Cesario, P. Parascandolo, R. Pasini, G. Troglio and G. B. Viano: 3D Image Processing and Analysis Laboratory, Smart Tools and Apps in Computer Graphics STAG, Giovanni Pintore and Filippo Stanco (Editors), 2016, PMID: 25569978, DOI: 10.1109/EMBC.2014.6943610
[17]
Philippe Andreya and Thomas Boudierb: 3D Processing and Analysis, ImageJ journal, http://imagejdocu.tudor.lu/lib/exe/fetch.php?media=tutorial:working:workshop3d2010.pdf
[18]
GPU Accelerated 2D and 3D Image Processing, 3-6 Sept. 2017, INSPEC Accession Number: 17357302, Date Added to IEEE Xplore: 13 November 2017, DOI: 10.15439/2017F265
[19]
S. Schröder, N. Loftfield, B. Langmann, K. Frank and E. Reithmeier: Contactless Operating Table Control Based on 3D Image Processing, Conf Proc IEEE Eng Med Biol Soc. 2014; 2014: 388-92. doi: 10.1109/EMBC.2014.6943610. https://www.ncbi.nlm.nih.gov/pubmed/25569978
[20]
M. Hamed, R. Massen & H. El Hendy: Three Dimensional Digitizers with High Resolution, Journal of King Abd El Aziz University (Engineering Science), Jedda, KSA, ISSN: 1319-1047, Vol. 13, Issue 1, 2001 (153 - 170). https://www.researchgate.net/.../Mohamed_Hamed8/
[21]
Mohamed Hamed & Hesham El Hendy: An Accurate Digital Determination for the Corresponding Plane Points for the Space Images of Objects. It has been accepted on Jul 4, 2018 by International Journal of Computer Science and Control Engineering, Vol. 6, No. 2, Paper in PDF, Aug. 16, 2018, Aug. 16, 2018 Pages: 22-29. http://www.openscienceonline.com/journal/archive2?journalId=743&paperId=4546
Open Science Scholarly Journals
Open Science is a peer-reviewed platform, the journals of which cover a wide range of academic disciplines and serve the world's research and scholarly communities. Upon acceptance, Open Science Journals will be immediately and permanently free for everyone to read and download.
CONTACT US
Office Address:
228 Park Ave., S#45956, New York, NY 10003
Phone: +(001)(347)535 0661
E-mail:
LET'S GET IN TOUCH
Name
E-mail
Subject
Message
SEND MASSAGE
Copyright © 2013-, Open Science Publishers - All Rights Reserved