Aplikasi Pengolahan Citra Untuk Peningkatan Deteksi Tepi Melalui Segmentasi Citra

Authors

  • Latifa Khoirani Universitas Islam Negeri Sumatera Utara
  • Rino Ariansyah Universitas Islam Negeri Sumatera Utara
  • Supiyandi Supiyandi Universitas Pembangunan Panca Budi, Medan

DOI:

https://doi.org/10.61132/mars.v2i3.191

Keywords:

Image Segmentation, Edge Detection, Image Processing, Roberts Operator, Prewitt, Sobel, Canny

Abstract

An important digital image processing is image segmentation, which separates objects from the background for further analysis. One segmentation technique is edge detection, which looks for boundaries between areas of different brightness. This article compares four edge detection methods: Roberts, Prewitt, Sobel, and Canny. The results show that, despite requiring more complex computations, Canny's method produces the sharpest and best connected edges; Sobel and Prewitt's method, on the other hand, is faster and simpler than Roberts' method, but is less effective in dealing with noise and often produces edges that are not connected to the plane. The choice of edge detection method depends on the application. Sobel and Prewitt are good for speed and stability, and Roberts is suitable for fast processing of images with minimal noise.

References

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Published

2024-06-30

How to Cite

Latifa Khoirani, Rino Ariansyah, & Supiyandi Supiyandi. (2024). Aplikasi Pengolahan Citra Untuk Peningkatan Deteksi Tepi Melalui Segmentasi Citra. Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer, 2(3), 196–203. https://doi.org/10.61132/mars.v2i3.191

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