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Suhartono Suhartono
Program Studi Magister Sistem Informasi Universitas Diponegoro
Computer Science & IT Economics, Econometrics & Finance

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Identifikasi Citra Untuk Mengidentifikasi Jenis Daging Sapi Menggunakan Transformasi Wavelet Haar Kiswanto Kiswanto; Eko Sediyono; Suhartono Suhartono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 2 (2011): Volume 1 Nomor 2 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (718.603 KB) | DOI: 10.21456/vol1iss2pp73-79

Abstract

In this research, conducted research on the identification of the image to  identify the type of ground beef using the Haar wavelet transform. The study was intended To check the performance of Haar wavelet in identifying the types of beef. The process  of  image  processing  is  done  by  calculating  the  value  of  R,  G  and  B  in  each  image  of  the  meat,  then  do  the normalization process to get the index value of R, G and the index B index and do the conversion from RGB to a model of HSI models to get the magnitude of the hue, saturation and intensity. The resulting value of the image processing used as input parameter verification program. The highest accuracy produced by the Haar wavelet is 80% on the kind of fresh beef, fresh frozen beef, beef rotten, rotten dried beef, while the lowest accuracy was 0% for frozen beef rotten.Keywords: Identification; Haar Wavelet Transformation
Co-Authors Eko Sediyono Kiswanto Kiswanto