Lembaga Penelitian Pengabdian Masyarakat Universitas Nusa Mandiri
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DETEKSI TEMU RUAS DAUN SIRIH MENGGUNAKAN ALGORITMA THINNING
Society is still a lot need the best solution to select an appropriate treatment to address a variety of perceived grievances, from medical treatment to the treatment of non-medical or often called traditional medicine, betel leaves as one of the plants that are useful to be a cure for certain diseases and betel leaves public trust to be used as a treatment appointment is betel leaf segments. Processing betel leaves on a large scale is needed to determine the ease of retrieval of betel leaf segments. The purpose of the research is to utilize image processing algorithms thinning. The method used consists of betel leaf image acquisition, image changes to a grayscale, edge detection comprising Prewitt, Robert, Sobel and thinning. Furthermore, the analysis of the results of research showing the most thinning algorithm is good to get that appointment betel segment.
Akram, Ayaz & Ismail, Asad, December 2013, "Comparison of Edge Detectors". Vol. 1, Issue 1, pp: (16-24), http://www.researchpublish.com/download.php?file=1384438628-1.pdf&act=book&usg=AFQjCNGjOLLYW8QAwAWg1YRxJcFIXzZ9qw&sig2=zzi9cc5CtkS4-6RiwJ5y8Q&cad=rja, 22 November 2016.
International Journal of Innovative Research in Computer and Communication Engineering (An ISO 3297: 2007 Certified Organization) Vol. 1, Issue 8, October 2013. Performance Analysis of Canny and Sobel Edge Detection Algorithms in Image Mining. Dr.S.Vijayarani1, Mrs.M.Vinupriya2 Assistant Professor, Department of Computer Science, School of Computer Science and Engg, Bharathiar University, Coimbatore, India1 Research Scholar, Department of Computer Science, School of Computer Science and Engg, Bharathiar University, Coimbatore, India.
International Journal of Computer Science & Information Technology (IJCSIT), Vol 2, No 6, December 2010.
SEGMENTATION AND OBJECT RECOGNITION USING EDGE DETECTION TECHNIQUES. Y.Ramadevi, T.Sridevi, B.Poornima, B.Kalyani. Department of CSE , Chaitanya Bharathi Institute of Technology Gandipet, Hyderabad. firstname.lastname@example.org
International Journal of Computer Science & Information Technology (IJCSIT) Vol 3, No 6, Dec 2011. EDGE DETECTION TECHNIQUES FOR IMAGE SEGMENTATION. Muthukrishnan.R1 and M.Radha2 1Assistant Professor, Department of Statistics, Bharathiar University, Coimbatore. email@example.com
Research Scholar, Department of Statistics, Bharathiar University, Coimbatore. firstname.lastname@example.org. International Journal of Computer Science and Information Technology Research (IJCSITR), Vol. 1, Issue 1, pp: (16-24), Month: October-December 2013, Available at: www.researchpublish.com Comparison of Edge Detectors Ayaz Akram, Asad Ismail Department of Electrical Engineering University of Engineering and Technology, Lahore, Pakistan
Roushdy, Mohamed, December 2006, "Comparative Study of Edge Detection Algorithms Applying on the Grayscale Noisy Image Using Morphological Filter". Volume 6, Issue 4, Vincent, O.R & Folorunso, O, 2009, "A Descriptive Algorithm for Sobel Image Edge Detection", proceedings.informingscience.org/InSITE2009/InSITE09p097-107Vincent613.pdf, 22 November 2016.
Senthilkumaran, N & Rajesh, R, November 2009, "Edge Detection Techniques for Image Segmentation – A Survey of Soft Computing Approaches". Vol. 1, No. 2, http://searchdl.org/public/journals/2009/IJRTET/1/2/1474.pdf, 22 November 2016.
Vijayarani1, S.Dr & Vinupriya, M.Mrs, October 2013, "Performance Analysis of Canny and Sobel Edge Detection Algorithms in Image Mining". Vol. 1, Issue 8, http://www.ijircce.com/upload/2013/october/13Performance.pdf, 22 November 2016.
VOL. 3, NO. 4, April 2012 ISSN 2079-8407, Journal of Emerging Trends in Computing and Information Sciences. ©2009-2012 CIS Journal. All rights reserved. http://www.cisjournal.org A Sobel Edge Detection Algorithm Based System for Analyzing and Classifying Image Based Spam. N. C. Woods, O.B. Longe, A.B.C. Roberts Department of Computer Science, University of Ibadan Ibadan, Nigeria Chyn_woods@yahoo.com
Zhou, Ping & Ye, Wenjun & Xia, Yaojie & Wang, Qi, 2011, "An Improved Canny Algorithm for Edge Detection". Journal of Computational Information Systems 7:5, http://www.jofcis.com/publishedpapers/2011_7_5_1516_1523.pdf, 22 November 2016.
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