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Unisda Journal of Mathematics and Computer Science (UJMC)
Article . 2024 . Peer-reviewed
License: CC BY SA
Data sources: Crossref
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Proses Difusi Untuk Meningkatkan Kualitas Deteksi Tepi Citra

Authors: Danar Ardian Pramana;

Proses Difusi Untuk Meningkatkan Kualitas Deteksi Tepi Citra

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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