Proses Difusi Untuk Meningkatkan Kualitas Deteksi Tepi Citra

Image processing is generally used to repair an image that is affected by interference or noise. The goal is so that the resulting image is easy for humans to understand. Edge detection is one of the scientific fields of image processing. To get better image detection results, a diffusion process can be used using the two-dimensional diffusion equation. Initial conditions and boundary conditions are needed in the two-dimensional diffusion equation which is then used to improve image edge detection. The scheme used is an explicit scheme. The time variable is important in this process. The edges of the image will change increasingly as increases. This process continues until . Several examples will be given to illustrate the results for the diffusion process in image edge detection.

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Publication Details

Journal
Unisda Journal of Mathematics and Computer Science (UJMC)
Published
2024-12-26
DOI
https://doi.org/10.52166/ujmc.v10i2.7870
Primary Topic
Computer Science and Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Proses Difusi Untuk Meningkatkan Kualitas Deteksi Tepi Citra

Danar Ardian Pramana
Unisda Journal of Mathematics and Computer Science (UJMC)
Computer Science and Engineering
article

Proses Difusi Untuk Meningkatkan Kualitas Deteksi Tepi Citra

Danar Ardian Pramana
article en

Abstract

Image processing is generally used to repair an image that is affected by interference or noise. The goal is so that the resulting image is easy for humans to understand. Edge detection is one of the scientific fields of image processing. To get better image detection results, a diffusion process can be used using the two-dimensional diffusion equation. Initial conditions and boundary conditions are needed in the two-dimensional diffusion equation which is then used to improve image edge detection. The scheme used is an explicit scheme. The time variable is important in this process. The edges of the image will change increasingly as increases. This process continues until . Several examples will be given to illustrate the results for the diffusion process in image edge detection.

Unisda Journal of Mathematics and Computer Science (UJMC)Vol. 10(2)
Openalex Percentile: Top 72%
Computer Science and Engineering
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