Aplikasi Edit Foto Background Dengan Menggunakan Metode K-Means Clustering
DOI:
https://doi.org/10.58836/query.v3i1.4384Abstract
Background photos become one of the most important things in every human activity. Where each background color contains its own meaning, depending on when the conditions where we use the background color. The background color is indispensable in the interests of humans in all matters relating to administration, for example, in the scope of work, school, and others. The background color change can be done by clustering the image. The initial stage done in changing the background color is to cluster the image first so that the background object can be found. In this study, the authors apply the k-means method to divide the objects into several parts. In this application before changing the background color we have to determine the number of clusters first, then the background color is changed according to the desired cluster. This application is designed using Matlab version 2010a. Test results ten images can be concluded that the success of background color changes can be done with a background that has one color while the background that has different colors can not change.Keywords: Image, Background, K-means, Clustering, Processing Image, Matlab 2010aDownloads
Additional Files
Published
2019-04-20
Issue
Section
VOLUME: 03, NUMBER: 01, APRIL 2019
License
Authors who publish with this journal agree to the following terms:
- that this article contains no violation of any existing copyright or other third party right or any material of a libelous, confidential, or otherwise unlawful nature, and that I will indemnify and keep indemnified the Editor and THE PUBLISHER against all claims and expenses (including legal costs and expenses) arising from any breach of this warranty and the other warranties on my behalf in this agreement;
- that I have obtained permission for and acknowledged the source of any illustrations, diagrams or other material included in the article of which I am not the copyright owner.
- on behalf of any co-authors, I agree to this work being published in Query: Jurnal Sistem Informasi as Open Access, and licenced under a Creative Commons Licence, 4.0 https://creativecommons.org/licenses/by/4.0/legalcode. This licence allows for the fullest distribution and re-use of the work for the benefit of scholarly information.
