Supervised Learning SVM of LoG Edge Detection X-Ray Image to Recognize Object Knives at Juanda Airport

Agung Santoso, Uli Ontang, Isturom Arif, Moch Hatta


The detection process is started changing RGB image to YCbCr and then the canal Cb is chosen followed by 3 processes consisting of making binary image, filtration and segmentation. The binary image aims to change image to white black, filtration is used to abolish noise, and segmentationto float objects using edge detection log followed and dimension calculation consisting ofthe value of Round value RV and Σ pixel. After obtained the next dimension values be normalized to get the right value for the SVM classification process is also useful for training data and data testing. SVM process results in the form of a graph when the data have been trained, but if you do not do the learning output in the form of a recommendation that the object is a knife object or not.


Canal Cb; Binner Image; Filtration; Segmentation; LoG and SVM Classification

Full Text:



Agung Santoso, “Deteksi Obyek KNIFE Pada Citra X-Ray Menggunakan Metode Deteksi Tepi Laplacian of Gausssian, Januari 2016 Tesis.

Adrian Schwaninger,“Why do Airport Security Screeners Sometimes Fail in Convert Tests”. 978-1-4244-4170-9/09 $25.00@2009IEEE

Rajiv Kumar, Arthanariee A. M, “A Comparative Study of Image Segmentation Using Edge-Based Approach”. World Academy of Science, Engineering and Technology. International Journal of Mathematical, Computational, Natural and Physical Engineering Vol:7, No:3, 2013

R.H. Sianipar, Herry S. Mangiri, I.K. Wiryajati, Matlab Untuk Pemrosesan Citra Digital, Penerbit Informatika Bandung, Oktober 2013.

Northern Eclipse Help Reference, Object Parameter, Morphometric & Densitometric Parameter., 15 Juni 2015.

N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines. Cambridge University Press, 2000.

Eko Prasetyo, Pengolahan Citra Digital dan Aplikasinya Menggunakan Matlab, Penerbit Andi Jogjakarta, 2011.


  • There are currently no refbacks.

Copyright (c) 2017 ADRI International Journal Of Industrial Engineering