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All Journal Jurnal Transformatika Jurnal Teknologi Informasi Cyberku
Dewi Nurdiyah
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science

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Metode Otsu Untuk Segmentasi Citra Finir Menggunakan Komponen Hue Saturation Value Indra Abdam Muwakhid; Dewi Nurdiyah
Jurnal Transformatika Vol 15, No 2 (2018): January 2018
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v15i2.761

Abstract

Tahapan dalam pengolahan citra meliputi segmentasi citra. Dalam permasalahan menemukan sebuah citra objek dengan baground menjadi kendala dalam segmentasi. Penelitian ini menggunakan dataset citra finir berjumlahkan 10 citra sampel, agar segmentasi bisa maksimal dilakukan tahap preprocessing dengan merubah citra yang berdimensi besar menjadi kecil, agar proses segmentasi nantinya tidak terlalu lama. Selanjutnya citra hasil preprocessing di konversi warna red, green dan blue kedalam ruang warna hue saturation dan value, dari komponen saturation dan value dapat mempermudah dalam mensegmentasi citra finir. Sehingga dalam ruang warna tersebut diubah menjadi citra biner untuk dilakukan segmentasi menggunakan Otsu, yang mana menggunakan nilai Threshold (T) dengan nilai setengah dari perhitungan global threshold, dikarenakan dengan menggunakan nilai global threshold saja masih belum bisa mensegmentasi obek finir. Ujicoba sistem dilakukan dengan metode Jaccard Similarity dari 10 data citra finir menggunakan metode segmentasi Otsu dan data citra Ground Truth, sehingga sistem dapat mensegmentasi citra finir dengan prosentase keberhasilan dalam menentukan persamaan citra sebesar 97.05%.
KLASIFIKASI CITRA TELUR FERTIL DAN INFERTIL DENGAN ANALISIS TEKSTUR GRAY LEVEL CO-OCCURRENCE MATRIX DAN SUPPORT VECTOR MACHINE Dewi Nurdiyah; Stefanus Santosa; Ricardus Anggi Pramunendar
Jurnal Teknologi Informasi - Cyberku (JTIC) Vol 11 No 2 (2015): Jurnal Teknologi Informasi CyberKU Vol.11 no 2
Publisher : Program Pascasarjana Magister Teknik Informatika, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.132 KB)

Abstract

Fertility eggs test are steps that must be performed in an attempt to hatch eggs. Fertility testusually use egg candling. The purpose of observation is to choose eggs fertile (eggs containedembryos) and infertile eggs (eggs that are no embryos). And then fertilized egg will be entered intothe incubator for hatching eggs and infertile can be egg consumption. However, there are obstaclesin the process of sorting the eggs are less time efficient and inaccuracies of human vision todistinguish between fertile and infertile eggs. To overcome this problem, it can be used ComputerVision technology is having such a principle of human vision. It used to identify an object basedon certain characteristics, so that the object can be classified. The aim of this study to classifyimage fertile and infertile eggs with SVM (Support Vector Machine) algorithm based on inputfrom bloodspot texture analysis and blood vessels with GLCM (Gray Level Co-occurrenceMatrix). Eggs image studied are 6 day old eggs. It is expected that the proposed method is anappropriate method for classification image fertile and infertile eggs.
Co-Authors Indra Abdam Muwakhid Ricardus Anggi Pramunendar Stefanus Santosa