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Analisis dan Deteksi Citra Gigi Berlubang (Karies) Menggunakan Metode Hybrid (Matematika Morfologi dan Canny)

Authors: Sumijan Sumijan; Pradani Ayu Widya Purnama;

Analisis dan Deteksi Citra Gigi Berlubang (Karies) Menggunakan Metode Hybrid (Matematika Morfologi dan Canny)

Abstract

Salah satu cara untuk memperlihatkan perbedaan dalam mengamati objek gigi yang sehat dengan gigi berlubang adalah dengan menggunakan metode melakukan ekstraksi dan deteksi tepi citra. Metode konversi citra RGB ke grayscale atau dari citra grayscale ke citra biner citra input dapat diperlihatkan citra yang dihasilkan oleh gambar pada rontgen. Selanjutnya pada metode dilatasi, erosi, dan object counting citra objek dapat diamati bentuk dan struktur gigi yang sehat dan gigi yang berlubang diantara ke tiga metode tersebut yang lebih terlihat jelas bentuk struktur giginya adalah metode Erosi. Metode Konvolusi bentuk dan struktur gigi tidak terlihat dengan jelas,pada metode filter gambar objek gigi menjadi blur. Sedangkan pada metode deteksi tepi terdapat beberapa metode yang terbagi diantaranya prewit, canny, sobel, dan robets. Objek yang diamati hasilnya berbeda dengan metode tersebut terlihat objek yang jelas deteksi tepinya adalah menggunakan metode canny pada metode tersebut terlihat jelas bentuk dan stuktur gigi yang sehat dan gigi yang berlubang.

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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
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