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Pembelajaran Supervised SVM Untuk Identifikasi Obyek Pisau Pada Mesin X-Ray Bandara Juanda
Abstract
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 segmentation is used to float object and dimension
calculation consisting of RV and Σ pixel. After having its value, the process of SVM classification is done by
using data training and testing. The result of SVM process is graphic which will be used to identify a knife object
or not.
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PDF (Bahasa Indonesia)References
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DOI: http://dx.doi.org/10.36564/njca.v1i1.2
DOI (PDF (Bahasa Indonesia)): http://dx.doi.org/10.36564/njca.v1i1.2.g2
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