Publiora

Menghubungkan ke Publiora...

Publiora

Improving radiographic image contrast using multi layers of histogram equalization technique

F. Alkhalid, FarahHasan, Ahmed MudherAlhamady, Ahmed A.
IAES International Journal of Artificial Intelligence (IJ-AI) (Sinta 1)Vol. 0 No. 01 Maret 2021
DOI10.11591/ijai.v10.i1.pp151-156

Abstrak

Usually, X-ray image has distortion in many parts because it is focusing on bones rather than other, However, when dentist needs to make decision analysis, he does that by using X-ray and many opinions can be judged by looking closely on it like (inflammation, infection, tooth nerve, root of the tooth…). This paper proposes on new suggested technique by applying multilayers of histogram equalization (HE) and contrast limited adaptive histogram equalization (CLAHE) in order to make high contrast of X-ray, this technique provides very satisfied results and smooth intensity which leads to high clear X-ray image, by using Python3 and OpenCV.

Kata Kunci

CLAHEContrastHistogramHistogram equalizationX-ray

Cari jurnal yang tepat untuk naskah Anda

MatchMind AI mencocokkan abstrak naskah Anda dengan ribuan jurnal terakreditasi dan menampilkan rekomendasi terbaik beserta alasannya.

Coba MatchMind

Lihat profil lengkap jurnal ini

Waktu review, biaya APC, statistik sitasi, indeksasi Scopus, dan banyak lagi.

Buka IAES International Journal of Artificial Intelligence (IJ-AI)

Artikel ini juga tersedia di situs resmi jurnal.

Improving radiographic image contrast using multi layers of histogram equalization technique | IAES International Journal of Artificial Intelligence (IJ-AI) | Publiora