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Jurnal Informatika: Jurnal Pengembangan IT
Published by Politeknik Harapan Bersama Tegal
ISSN : 24775126     EISSN : 25489356     DOI : https://doi.org/10.30591
Core Subject : Science,
Computer Science & IT
The scope encompasses the Informatics Engineering, Computer Engineering and information Systems., but not limited to, the following scope: 1. Information Systems Information management e-Government E-business and e-Commerce Spatial Information Systems Geographical Information Systems IT Governance and Audits IT Service Management IT Project Management Information System Development Research Methods of Information Systems Software Quality Assurance 2. Computer Engineering Intelligent Systems Network Protocol and Management Robotic Computer Security Information Security and Privacy Information Forensics Network Security Protection Systems 3. Informatics Engineering Software Engineering Soft Computing Data Mining Information Retrieval Multimedia Technology Mobile Computing Artificial Intelligence Games Programming Computer Vision Image Processing, Embedded System Augmented/ Virtual Reality Image Processing Speech Recognition
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 11 Documents
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Search results for , issue "Vol 7, No 3 (2022)" : 11 Documents clear
Implementasi Metode Local Weighting Pattern pada Prototype Ciri Frame Dinamis Sumadi, Muhammad Taufiq; Putra, Arief Bramanto Wicaksono; Vidyanesa, Bunga Shafa
Jurnal Informatika: Jurnal Pengembangan IT Vol 7, No 3 (2022)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v7i3.3976

Abstract

In this age of technology, digital image and video processing is a fairly desirable field of science. Digital image and video can be used in various fields, one of which is industry, this has led to the development of digital images and video in the rapidly developing world of technology. Along with the development of digital image technology, object recognition in the image requires an increase in the algorithm in this case is the extraction of image features which of course also develops in the application of video. Video is a collection of images that are recorded or acquired during a certain unit of time. In this study, feature extraction was carried out using Local Weighting Pattern. As the object of research used video data. The results of the analysis are based on feature extraction experiments that have been carried out in this research, if the difference between frames is more than 0.045, then there is a change in the frames, if it is less than equal to 0.045 then vice versa

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