Implementasi Teknik Watershed Dan Morfologi Pada Citra Satelit Untuk Segmentasi Area Universitas Brawijaya

., Sutrisno; Supianto, Ahmad Afif; Cholissodin, Imam

doi:10.25126/jtiik.20141198

Jurnal SINTA 2

Implementasi Teknik Watershed Dan Morfologi Pada Citra Satelit Untuk Segmentasi Area Universitas Brawijaya

Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 1 No. 1 (2014) · pp. 5–13

DOI: 10.25126/jtiik.20141198
ISSN: 2528-6579, 2355-7699
Published: 2014-07-08
Publisher: Fakultas Ilmu Komputer, Universitas Brawijaya
Language: en

Abstract

AbstrakPenelitian di bidang segmentasi citra telah banyak dilakukan, terutama di bidang citra satelit. Proses segmentasi ini dilakukan untuk melakukan deteksi terhadap objek-objek yang terdapat di dalam citra. Pada penelitian ini, diimplementasikan sebuah metode segmentasi citra dengan menggunakan teknik watershed dan morfologi. Pertama, citra diubah ke dalam format citra grayscale.Kemudian, citra grayscale tersebut diolah dengan metode watershed untuk mendapatkan segmentasi awal. Selanjutnya, citra segmentasi tersebut diperbaiki menggunakan metode morfologi untuk mengurangi segmentasi berlebih yang dihasilkan oleh proses sebelumnya. Uji coba dilakukan terhadap 5dataset citra satelitarea Universitas Brawijaya dengan tingkat skala yang berbeda-beda. Skala yang digunakan dalam penelitian ini meliputi 20m, 50m, 100m, 200m, dan 500m. Uji coba menunjukkan bahwa metode yang diusulkan berhasil melakukan segmentasi citra dengan skala kurang dari 100 meter.Semakin rendah nilai skala yang digunakan sebagai uji coba, segmentasi yang dihasilkan semakin baik.Kata kunci: Watershed, Morfologi Citra, Citra SatelitAbstractResearch in the field of image segmentation has been widely applied, especially in the field of satellite imagery. The segmentation process is performed to detect the objects present in the image. In this study, implemented a method of image segmentation using watershed and morphological techniques. First, the image is converted into grayscale format. Then the grayscale image is processed by the watershed method to get initial segmentation. Furthermore, the improved image segmentation using morphological methods to reduce the excessive segmentation generated by the previous process. Tests performed on 5 satellite imagery dataset UB area with levels varying scales. The scale used in this study include the 20 meters, 50 meters, 100 meters, 200 meters, and 500 meters. The trials showed that the proposed method successfully to segment the image with the scale of less than 100 meters. The lower the scale value is used as a test, the better the resulting segmentation.Keywords: Watershed, Morphological Image, Satellite Imagery

Collaboration network of the authors

40 authors · 114 co-authorship links · 21 across different organisations · showing the 40 most connected

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University of Brawijaya
Indonesian Institute of Sciences
National Research and Innovation Agency
Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW
Universitas Amikom Purwokerto
Affiliation unknown

Different organisations
Same organisation
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Co-author	Organisation	Joint articles
Arief Andy Soebroto	University of Brawijaya	3
Daneswara Jauhari	University of Brawijaya	3
Dhimas Anjar Prabowo	University of Brawijaya	3
Nurul Hidayat	University of Brawijaya	3
Nanang Yudi Setiawan	University of Brawijaya	2
Vicky Zilvan	Indonesian Institute of Sciences	2
Asri Rizki Yuliani	Indonesian Institute of Sciences	2
Ade Ramdan	Indonesian Institute of Sciences	2
Canny Amerilyse Caesar	University of Brawijaya	2
Latifah Hanum	University of Brawijaya	2
Muhammad Fhadli	University of Brawijaya	2
Anang Hanafi	University of Brawijaya	2
Listiya Surtiningsih	University of Brawijaya	2
Tibyani Tibyani	University of Brawijaya	2
Fitra Abdurrachman Bachtiar	University of Brawijaya	2
Hilman Ferdinandus Pardede	National Research and Innovation Agency	2
Wahyu Teja Kusuma	Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW	2
Herman Tolle	University of Brawijaya	2
Candra Dewi	University of Brawijaya	2
Rina Christanti	University of Brawijaya	2
Budi Darma Setiawan	University of Brawijaya	2
Nur Laita Rizki Amalia	University of Brawijaya	1
Randy Cahya Wihandika	University of Brawijaya	1
Maria Tenika Frestantiya	University of Brawijaya	1
Ziya El Arief	University of Brawijaya	1
Rekyan Regasari Mardi Putri	University of Brawijaya	1
Lailil Muflikhah	University of Brawijaya	1
Muhammad Syafiq	University of Brawijaya	1
Achmad Jafar Al Kadafi	University of Brawijaya	1
Rizka Husnun Zakiyyah	University of Brawijaya	1
Wanda Athira Luqyana	University of Brawijaya	1
Uswatun Hasanah	Universitas Amikom Purwokerto	1
Lintang Resita Mayangsari	University of Brawijaya	1
Andhica Pratama	University of Brawijaya	1
Mochammad Ainun Najib	University of Brawijaya	1
Handika Agus Fauzi	University of Brawijaya	1
Sutrisno Sutrisno	University of Brawijaya	1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jtiik.ub.ac.id/index.php/jtiik/en/oai, first harvested 27 Okt 2026, last seen 27 Okt 2026.

Original metadata (oai_dc)

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	<dc:title xml:lang="id">Implementasi Teknik Watershed Dan Morfologi Pada Citra Satelit Untuk Segmentasi Area Universitas Brawijaya</dc:title>
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