The Segmentation of Neutron Digital Radiography Image through the Edge Detection Method

Authors

  • Ayu Fitri Amalia Universitas Sarjanawiyata Tamansiswa
  • Widodo Budhi Universitas Sarjanawiyata Tamansiswa

DOI:

https://doi.org/10.26740/jpfa.v10n1.p11-21

Keywords:

neutron radiography, digital image, edge detection

Abstract

The digital image processing is one way to manipulate one or more digital images. Image segmentation has an essential role in the field of image analysis. The aim of this study was to develop an application to perform digital image processing of neutron digital radiographic images, hoping to improve the image quality of the digital images produced. The quality of edge detection could be used for the introduction of neutron digital radiographic image patterns through artificial intelligence. Interaction of neutrons with the matter mainly by nuclear reaction, elastic, and inelastic scattering. A neutron can quickly enter into a nucleus of an atom and cause a reaction. It is because a neutron has no charge. Neutrons can be used for digital imaging due to high-resolution information from deep layers of the material. The attenuated neutron beam in neutron radiography are passing through the investigated object. The object in a uniform neutron beam is irradiated to obtain an image neutron. The technique used in segmenting the neutron radiography in this study was a digital technique using a camera with a charge-coupled device (CCD), which was deemed more efficient technique compared to the conventional one. Through this technique, images could be displayed directly on the monitor without going through the film washing process. Edge detection methods were implemented in the algorithm program. It was the first step to complement the image information where edges characterize object boundaries. It is useful for the process of segmenting and identifying objects in neutron digital radiography images. The edge detection methods used in this study were Sobel, Prewitt, Canny, and Laplacian of Gaussian. According to the results of the image that have been tested for edge detection, the best image was carried out by the Canny operator because the method is more explicit. The obtained edges were more connected than the other methods which are still broken. The Canny technique provided edge gradient orientation which resulted in a proper localization.

Author Biographies

Ayu Fitri Amalia, Universitas Sarjanawiyata Tamansiswa

Program Studi Pendidikan Fisika, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Sarjanawiyata Tamansiswa

Scopus ID: 57204039801

Widodo Budhi, Universitas Sarjanawiyata Tamansiswa

Program Studi Pendidikan Fisika, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Sarjanawiyata Tamansiswa

Scopus ID: 57204033643

References

Hohara S and Nohtomi A. Neutron Radiography. Osaka: Atomic Energy Research Institute, Kinki University; 1895.

Schillinger B, Calzada E, and Lorenz K. Modern Neutron Imaging¯: Dynamic and Phase Contrast Imaging with Neutrons. Solid State Phenomena. 2006; 112: 6172. DOI: http://dx.doi.org/10.4028/www.scientific.net/SSP.112.61.

Eldin MTA. Neutron Radiography. Alexandria: Alexandria University; 2011.

Banhart J, Borbély A, Dzieciol K, Garcia-Moreno F, Manke I, Kardjilov N, Kaysser-Pyzalla AR, Strobl M, and Treimer W. X-Ray and Neutron Imaging Complementary Techniques for Materials Science and Engineering. International Journal of Materials Research. 2010; 101(9): 10691079. DOI: https://doi.org/10.3139/146.110382.

Szilágyi V, Kis Z, and Szentmiklósi L. Neutron Imaging For Archaeometry. Archeometriai Műhely. 2016; 3(13): 157172. Available from: http://www.ace.hu/am/2016_3/AM-2016-3-SZV.pdf.

Kardjilov N, Manke I, Hilger A, Strobl M, and Banhart J. Neutron Imaging in Neutron Imaging. Materials Today. 2011; 14(6): 248256. DOI: http://dx.doi.org/10.1016/S1369-7021(11)70139-0.

Hang L, Yu-Bin Z, Yuan-Rong L, Zhi-Yu G, and Gou-You T. Preliminary Study on Neutron Radiography with Several Hundred KeV Fast. Chinese Physics Letters. 2012; 29(11): 118701. DOI: http://dx.doi.org/10.1088/0256-307X/29/11/118701.

Odin GP, Rouchon V, Ott F, Malikova N, Levitz P, and Michot LJ. Neutron Imaging Investigation of Fossil Woods¯: Non-Destructive Characterization of Microstructure and Detection of in Situ Changes as Occurring in Museum Cabinets. Fossil Record. 2017; 20(1): 95103. DOI: http://dx.doi.org/10.5194/fr-20-95-2017.

Prokhorets SI and Khazhmurodov MA. Object Imaging Using Neutron-Radiography Methods. Problems Of Atomic Science And Technology. 2016; N5(105): 7376. Available from: https://vant.kipt.kharkov.ua/ARTICLE/VANT_2016_5/article_2016_5_73.pdf.

Domanus JC. Practical Neutron Radiography. 1st Edition. Netherlands: Springer; 1992.

Lehmann EH, Frei G, Ku G, and Boillat P. The Micro-Setup for Neutron Imaging¯: A Major Step Forward to Improve the Spatial Resolution. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2007; 576(2-3): 389396. DOI: https://doi.org/10.1016/j.nima.2007.03.017.

Tremsin AS, McPhate JB, Vallerga JV, Siegmund OHW, Feller WB, Lehmann E, Butler LG, and Dawson M. High-Resolution Neutron Microtomography with Noiseless Neutron Counting Detector. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2011; 652(1): 400403. DOI: https://doi.org/10.1016/j.nima.2010.08.009.

Kaestner A, Lehmann E, and Stampanoni M. Imaging and Image Processing in Porous Media Research. Advances in Water Resources. 2008; 31(9): 11741187. DOI: https://doi.org/10.1016/j.advwatres.2008.01.022.

B̈orries S. Neutron Imaging of Metal Hydride Systems. Dissertation. Hamburg: University of Hamburg; 2017.

Rashmi, Kumar M, and Saxena R. Algorithm and Technique on Various Edge Detection¯: a Survey. Signal & Image Processing¯: An International Journal (SIPIJ). 2013; 4(3): 6575. DOI: http://dx.doi.org/10.5121/sipij.2013.4306.

Goswami B and Misra SK. Analysis of Various Edge Detection Methods for X-Ray Images. 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). Chennai. 2016: 26942699. DOI: http://dx.doi.org/10.1109/ICEEOT.2016.7755185.

Tremsin AS, Lehmann EH, Kardjilov N, Strobl M, Manke I, McPhate JB, Vallerga JV, Siegmund OHW, and Feller WB. Refraction Contrast Imaging and Edge Effects in Neutron Radiography. Journal of Instrumentation. 2012; 7(2): C02047. DOI: https://dx.doi.org/10.1088/1748-0221/7/02/c02047.

Hippmann S, Lorenz K, Bogenberger C, and Hoffmann H. Edge Detection within Qualitative Phase Contrast Neutron Radiographies of Castings. Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipmen.. 2009; 605(1-2): 3032. DOI: http://dx.doi.org/10.1016/j.nima.2009.01.122.

Hussain SK and Rafi RM. Comparisions of Robert, Pewit, Sobel Operators Based Edge Detection Methods. International Journal of Latest Engineering Research and Applications (IJLERA). 2017; 2(10): 5156. Available from: http://www.ijlera.com/papers/v2-i10/20.201710520.pdf.

Muthukrishnan R and Radha M. Edge Detection Techniques for Image Segmentation. International Journal of Computer Science & Information Technology (IJCSIT). 2011; 3(6): 259267. Available from: https://www.researchgate.net/publication/274872300_Edge_Detection_Techniques_For_Image_Segmentation.

Abubakar FM. Study of Image Segmentation by Using Edge Detection Techniques. International Journal of Engineering Research & Technology (IJERT). 2012; 1(9): 15. Available from: https://www.ijert.org/study-of-image-segmentation-by-using-edge-detection-techniques.

Krishnan KB, Ranga SP, and Guptha N. A Survey on Different Edge Detection Techniques for Image Segmentation. Indian Journal of Science and Technology. 2017; 10(4): 18. DOI: http://dx.doi.org/10.17485/ijst/2017/v10i4/108963.

Parthasarathy G, Ramanathan L, Anitha K, and Justindhas Y. Predicting Source and Age of Brain Tumor Using Canny Edge Detection Algorithm and Threshold Technique. Asian Pacific Journal of Cancer Prevention. 2019; 20(5): 14091414. DOI: http://dx.doi.org/10.31557/APJCP.2019.20.5.1409.

Andrushia AD, Anand N, and Godwin IA. Analysis of Edge Detection Algorithms For Concrete Crack Detection. International Journal of Mechanical Engineering and Technology (IJMET). 2018; 9(11): 689695. Available from: http://www.iaeme.com/ijmet/IJMET_Paper.asp?sno=13998.

Hagara M and Kubinec P. About Edge Detection in Digital Images. Radioengineering. 2018; 27(4): 919929. DOI: https://dx.doi.org/10.13164/re.2018.0919.

Gill R, Kaur N, and Singla AK. A Comparative Analysis of Edge Detection Operators¯: Application for Text Detection. International Journal of Computer Science and Technology (IJCST). 2012; 3(4): 530533. Available from: http://ijcst.com/vol34/3/rana.pdf.

Kumar SN, Fred AL, H AK, and Varghese S. Medical Image Edge Detection Using Gauss Gradient Operator. Journal of Pharmaceutical Science and Research (JPSR). 2017; 9(5): 695704. Available from: https://www.jpsr.pharmainfo.in/Documents/Volumes/vol9Issue05/jpsr09051731.pdf.

Shubhangi DC, Chinchansoor RS, and Hiremath P. Edge Detection of Femur Bones in X-Ray Images A Comparative Study of Edge Detectors. International Journal of Computer Applications. 2012; 42(2): 1316. Available from: https://www.ijcaonline.org/archives/volume42/number2/5664-7696.

Susmitha A, Mishra A, Sharma D, Wadhwa P, and Dash L. Implementation of Cannys Edge Detection Technique for Real World Images. International Journal of Engineering Trends and Technology (IJETT). 2017; 48(4): 176181. DOI: http://dx.doi.org/10.14445/22315381/IJETT-V48P232.

Shrivakshan GT and Chandrasekar C. A Comparison of Various Edge Detection Techniques Used in Image Processing. IJCSI International Journal of Computer Science Issues. 2012; 9(5): 269276. Available from: https://www.ijcsi.org/articles/A-survey-of-edge-detection-techniques-used-in-image-processing-with-a-case-study.php.

Maini R and Aggarwal H. Study and Comparison of Various Image Edge Detection Techniques. International Journal of Image Processing (IJIP). 2009; 3(1): 111. Available from: https://www.cscjournals.org/library/manuscriptinfo.php?mc=IJIP-15.

Amalia AF, Budhi W, Prabowo UN, and Suparta GB. The Image Quality Analysis of Neutron Digital Radiography through the Variation of Multiple Image Capturing. AIP Conference Proceedings. 2018; 2014: 020140. DOI: https://dx.doi.org/10.1063/1.5054544.

Cammi A, Zanetti M, Chiesa D, Clemenza M, Pozzi S, Previtali E, Sisti M, Magrotti G, Prata M, and Salvini A. Characterization of the TRIGA Mark II Reactor Full-Power Steady State. Nuclear Engineering and Design. 2016; 300: 308321. DOI: http://dx.doi.org/10.1016/j.nucengdes.2016.01.026.

Hakim SUE, Abimanyu A, and Sutanto. Simulator Design of Kartini Reactor Based on LABVIEW. Jurnal Forum Nuklir (JFN). 2018; 12(1): 2941. Available from: http://jurnal.batan.go.id/index.php/jfn/article/view/3646.

Pawar PH and Patil RP. Image Edge Detection Techniques Using MATLAB Simulink. International Journal of Engineering Research & Technology (IJERT). 2014; 3(6): 21492153. Available from: https://www.ijert.org/image-edge-detection-techniques-using-matlab-simulink.

Leavline EJ and Singh DAAG. On Teaching Digital Image Processing with MATLAB. American Journal of Signal Processing. 2014; 4(1): 715. Available from: http://article.sapub.org/10.5923.j.ajsp.20140401.02.html.

Mohammad EJ, JawadKadhim M, Hamad WI, Helyel SY, Alrsaak AAA, Al-Kazraji FKS, and HadeeAbud AS. Study Sobel Edge Detection Effect on the ImageEdges Using MATLAB. International Journal of Innovative Research in Science, Engineering and Technology. 2014; 3(3): 1040810415. Available from: https://www.ijirset.com/upload/2014/march/68_Study.pdf.

Katiyar SK and Arun PV. Comparative Analysis of Common Edge Detection Techniques in Context of Object Extraction. IEEE Transactions on Geoscience and Remote Sensing. 2012; 50(11): 6879. Available from: https://arxiv.org/abs/1405.6132.

Kaur S and Singh I. Comparison between Edge Detection Techniques. International Journal of Computer Applications. 2016; 145(15): 1518. DOI: http://dx.doi.org/10.5120/ijca2016910867.

Bin L and Samiei M. Comparison for Image Edge Detection Algorithms. IOSR Journal of Computer Engineering (IOSRJCE). 2012; 2(6): 14. DOI: http://dx.doi.org/10.9790/0661-0260104.

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Published

2020-07-04

How to Cite

Amalia, A. F. and Budhi, W. (2020) “The Segmentation of Neutron Digital Radiography Image through the Edge Detection Method”, Jurnal Penelitian Fisika dan Aplikasinya (JPFA), 10(1), pp. 11–21. doi: 10.26740/jpfa.v10n1.p11-21.

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