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All Journal JOIV : International Journal on Informatics Visualization Jurnal Mantik Progresif: Jurnal Ilmiah Komputer Jurnal Informatika dan Sistem Informasi Journal of Information Technology (JIfoTech) Jurnal Abdimas Bina Bangsa DEVOTE: Jurnal Pengabdian Masyarakat Global Jurnal INFOTEL SAINTEK Infact: Jurnal Sains dan Komputer
Haeni Budiati
Universitas Kristen Immanuel
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : SAINTEK

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Metode Subtraksi Citra Sebagai Upaya Deteksi Gerakan Tangan Haeni Budiati; Agustinus Rudatyo Himamunanto
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.0613

Abstract

Segmentation is one of the important operations in the object recognition process. One of the well-known segmentation methods is image subtraction. This image subtraction process is carried out to separate the foreground object from the background object. Most studies use this method to segment static images. In this study, the performance of the subtraction method will be observed based on the dynamic image input of hand movements. The application of the subtraction method is used for segmentation operations based on different information on different frames with the aim of obtaining information on the hand area. The focus of this research is to compare the results of processing with the subtraction method on different types of inputs based on the nature of their constituent signals, namely analog video input (webcam) and digital video input (stored video). The success of processing on both video inputs is determined from the first segmentation processing that finds the hand area. Two test cases (various lighting levels and outdoor background) were deliberately chosen because they are closely related to the potential weaknesses of the image subtraction method. Based on the test results, it is known that the implementation of the subtraction method for analog video input (webcam) and digital video input on various tests of light and background quality which is quite complex, shows success in finding areas of moving hands. Keywords: Subtraction, Segmentation, Hand Movements
Co-Authors Agustinus Rudatyo Himamunanto Agustinus Rudatyo Himamunanto Anan Sosmita Lase Antonius Bima Murti Wijaya Antonius Bima Murti Wijaya Barita Suci Vernando Zebua Delima Zai Farelia Devi Julia Putri Fornieli Gulo Gogor Christmass Setyawan Heri Wijayanto Hermas Rizzal Indriyani Hulu Jatmika Jatmika Jatmika Jatmika Jatmika Juli Supriyanto Gea Kristian Juri Damai Lase Liefson Jacobus, Liefson Lukas Agung Heriputranto Peter1 Sunneng Sandino Berutu Surjawirawan Dwiputranto Timothy Ageng Pracaya Yeong-Chin Chen Yo’el Pieter Sumihar