Published: 2025-07-01
Classification of Image Corner Point Detection Systems to Identify a Shape
DOI: 10.35870/jtik.v9i3.3824
Dadang Iskandar Mulyana, Fiktor Kurnia Tofano
- Dadang Iskandar Mulyana: Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika , , Indonesia
- Fiktor Kurnia Tofano: Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika , , Indonesia
Abstract
StudyThis contains about the detection of circular object images. The circular object tested is the moon image object, the moon image was chosen because the moon image has various moon shapes, namely the full moon, half moon and crescent moon. To detect the shape of the circular object image, several stages are carried out by starting the image segmentation process. (1) The segmentation process using the bi-level thresholding method makes the image black and white, (2) after that the image is repaired with the morphological process of the opening and closing methods. (3) For training data, the shape extraction process is carried out, namely the circular nature of the object (circularity) to determine the roundness of an object. For the testing process, the same process is also carried out as the process of obtaining circular image detection.
Keywords
Circle Image Detection ; Bi-Level Thresholding ; Opening ; Closing ; Extractioncircularity Form
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Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 9 No. 3 (2025)
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Section: Computer & Communication Science
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Published: %750 %e, %2025
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License: CC BY 4.0
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Copyright: © 2025 Authors
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DOI: 10.35870/jtik.v9i3.3824
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Dadang Iskandar Mulyana
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.
Fiktor Kurnia Tofano
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.
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