Perancangan Perangkat Lunak Segmentasi Citra Luka Kronik Dengan Menggunakan Algoritma Metode Fuzzy C-Means
Abstract
The process of segmentation in digital images that separates an object from the background or background can be obtained from the RGB value in each pixel on a digital image so that the object can be processed for other purposes. Along with the development of technology in applications that process digital images, the process of segmentation is becoming increasingly necessary. The results of segmentation must also be more accurate because if the segmentation results are inaccurate it will affect the results of the next process. In general, the segmentation process is divided into three parts based on classification, based on edges and by region. From an image information can be obtained in accordance with the interests, but sometimes on existing images can not be obtained directly the information needed. There are times when it is difficult to process information from an image directly in plain view by only relying on the sense of sight. This is understandable, considering that the image is a large collection of dots of color. One alternative to help display and process this information is by segmentation.
Downloads
References
Syafi’I, Imam, 2015, “Segmentasi Obyek Pada Citra Digital Menggunakan Metode Otsu Thresholding”, Jurnal Informatika, Vol. 13, No. 1, ISSN : 1411-0105.
Shugara, Robbie, 2016, “Implementasi Algoritma Fuzzy C-Means Clustering Dan Simple Additive Weighting Dalam Pemberian Bantuan Program Peningkatan Kualitas Kawan Permukiman”, Jurnal Pseudocode, Vol.III, No.2, ISSN : 2355-5920.
http://id.wikipedia.org.wiki.Desain, Diakses Tanggal 13 Juli 2018
http://id.wikipedia.org.wiki.Aplikasi, Diakses Tanggal 13 Juli 2018
T.sutoyo, dkk, 2009, ”Teori pengolahan citra digital”, Penerbit Andi Offset, Yogyakarta.
Simarmata, Janer, dkk, 2007, ”Grafika Komputer”, Penerbit Andi Publishier, ISBN 978, Yogyakarta.
Putra, Darma, 2010, ”Pengolahan Citra Digital, Penerbit Andi Offset, Yogyakarta.
Gonzales & Woods, 2002, “Digital Image Processing”, Prentice Hall
Kusumadewi, Sri & Purnomo, 2010, “Aplikasi Logika Fuzzy”, Cetakan Pertama, Graha Ilmu, Yogyakarta.
Nugroho, Adi, 2010, “Rekayasa Perangkat Lunak Berorientasi Objek Metode USDP”, Penerbit Andi, Yogyakarta.
Junindar, 2009, “Learning and Practising Visual Basic 2010 + Ms. Access 2010”, Penerbit Media Creative, Yogyakarta.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Perancangan Perangkat Lunak Segmentasi Citra Luka Kronik Dengan Menggunakan Algoritma Metode Fuzzy C-Means
Pages: 291-295
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).






















