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All Journal Jurnal Buana Informatika Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Sains Jurnal TAM (Technology Acceptance Model) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JurTI (JURNAL TEKNOLOGI INFORMASI) JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi ABSYARA: Jurnal Pengabdian Pada Masyarakat IJAIRTec Algoritme Jurnal Mahasiswa Teknik Informatika Informatics and Enginering Dedication Klik - Jurnal Ilmu Komputer MDP Student Conference
Derry Alamsyah
Universitas Multi Data Palembang
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Library & Information Science Mathematics Physics Other

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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

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Estimasi Citra Kedalaman Dengan Conditional Random Field (CRF) dan Structured Support Vector Machine (SSVM) Muhammad Rachmadi; Derry Alamsyah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 1 No 3 (2017): Desember 2017
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (842.819 KB) | DOI: 10.29207/resti.v1i3.64

Abstract

Autonomous UAVs typically require systems capable of mapping (segmenting) the region of a colored image. Regional segmentation will be used to determine the existence of obstacles. Segmentation in an image initiated by grouping a number of pixels by color and proximity, with superpixel. Furthermore, the characteristics of each segmented region were extracted using Principal Component Analysis (PCA). Sequential segregation is a process of introducing a region that requires chain information obtained from the introduction before and after it called stochastic process. Solving this is done using Structured Support Vector Machines (SSVM). Meanwhile, to determine the weight in SSVM required a Conditional Random Field (CRF) model. The results show a good accuracy in the segmentation of the region that is 71%.
Co-Authors Aldo Willyanto Devella, Siska Dicky Pratama Dicky Pratama Dicky Pratama Dicky Pratama Dicky Pratama Dicky Pratama Ferdyansyah Wijaya Gasim Hafiz Irsyad Hafiz Irsyad Hartati, Ery Ignatius Rivaldo Lie Inayatullah Inayatullah Irmeilyana Ivan Pratama Putra Leonardo Leonardo Maryati Gultom Mehri Paniza Muhammad Bemby Putra Mansyah Muhammad Rafly Alwanda Mukhlisa Mukhlisa Nataliatara Nataliatara Putra BJ Bangun Raden Putra Kurniawan Ramadhan Reynard Saputra Ricky Julianto Rusbandi Rusbandi Steven Pranata Tinaliah, Tinaliah Tommy Oktavianus Saputra Triana Elizabeth, Triana Valentino Ruben Ho Wahyu Sudrajat, Idham Cholid, Muhammad Rachmadi, Veradilla Amalia Wijang Widhiarso Yoannita Yoannita Zicola Vladimir VIky Khan