Pengolahan Citra  untuk Perbaikan Kualitas Citra Sinar-X Dental Menggunakan Metode Filtering

Wilianti, Alfia Septiana; Agoes, Suhartati

doi:10.25105/jetri.v17i1.4492

Cited by 3 publications

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“…Citra yang dibaca dan ditampilkan berupa file Bitmap tersebut kemudian dikonversi menjadi bentuk grayscale (citra keabu-abuan). Tujuan mengubah menjadi grayscale adalah untuk menyederhanakan model citra karena citra berwarna terdiri dari matriks 3 layer, yaitu R-layer, Glayer dan B-layer [19]. Rumus untuk mengubah citra ke bentuk grayscale (keabu-abuan) disajikan pada Persamaan 1.…”

Section: Identifikasi Citra X-ray Thorax Dengan Claheunclassified

Identifikasi Objek pada Citra Thorax X-Ray Pasien COVID-19 dengan Metode Contrast Limited Adaptive Histogram Equalization (CLAHE)

Putra

Na`

Yuhandri

2022

jidt

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Radiografi thorax X-Ray menghasilkan citra digital radiografi diarea dada seperti paru-paru, jantung, dan tulang rusuk. Citra ini dapat memvisualisasikan kondisi paru-paru pasien COVID-19. Pemeriksaan kondisi paru-paru pasien COVID-19 dengan X-Ray lebih mudah, murah dan banyak tersedia di rumah sakit dibandingkan teknik radiografi yang lainnya. Namun, hasil citra digital radiografi X-Ray memiliki kualitas yang kurang bagus sehingga perlu ditingkatkan. Kontras citra yang rendah menjadi faktor kesulitan identifikasi citra thorax pasien COVID-19. Meningkatkan kontras citra thorax pasien COVID-19 yang rendah dengan Contrast Limited Adaptive Histogram Equalization (CLAHE) sehingga mudah diamati secara konkret dan lebih jelas. Citra yang diolah dalam penelitian ini sebanyak 100 citra thorax pasien COVID-19 yang bersumber dari komputer bagian radiologi RS Bhayangkara Padang Indonesia. Selanjutnya citra diolah menggunakan pengolahan citra digital menggunakan software Matlab. Tahapan pengolahannya citra thorax dikonversi ke bentuk grayscale. Citra hasil dari grayscale dilanjutkan dengan pengolahan kontras dengan menggunakan metode CLAHE bertipe distribusi Uniform, Rayleigh dan Exponential. Dilanjutkan penghitungan nilai Peak Signal to Noise Ratio (PNSR) dan Mean Square Error (MSE) hasil citra dari pengolahan metode masing-masing tipe CLAHE. Hasil dari pengujian semua citra dapat ditingkatkan kualitas kontrasnya secara visual. Hasil rata-rata MSE CLAHE Uniform, Rayleigh dan Exponential secara berturut-turut sebesar 27.68, 25.86 dan 26.33. Nilai rata-rata PNSR CLAHE Uniform, Rayleigh dan Exponential > 30 dB yaitu sebesar 112.32 dB, 171.95 dB dan 151.90 dB yang berarti citra CLAHE mirip dengan citra aslinya. CLAHE Rayleigh memberikan hasil terbaik secara kualitas dan kuantitas dengan jumlah 85 citra atau nilai akurasi 85%, sedangkan CLAHE Exponential dan CLAHE Uniform sebesar 15% dan 0%.

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Section: Identifikasi Citra X-ray Thorax Dengan Claheunclassified

Identifikasi Objek pada Citra Thorax X-Ray Pasien COVID-19 dengan Metode Contrast Limited Adaptive Histogram Equalization (CLAHE)

Putra

Na`

Yuhandri

2022

jidt

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“…This technique can be easily processed using a laptop as a computational tool in processing images. In a digital image, there is a two-dimensional matrix f(x,y) consisting of M columns and N rows [11], where the intersection between the columns and rows is called the pixel or the smallest element of an image. Image processing aims to improve image quality to be easily interpreted by the senses of the human vision or machine (computer) [12].…”

Section: A Image Processing Techniquementioning

confidence: 99%

Image processing analysis to determine fajr time using the imagej application

2021

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The determination of early prayer times is an essential aspect as it is one of the five pillars in Islam and prerequisites for prayers to be accepted. The government has set a standard for carrying out the fajr prayer by determining the degree of appearance of the fajr as-Sadiq at -20. This study aims to compare the initial determination of the government's fajr time using different sensors. In this case, the drones as the image sensor. The drone was chosen because it has several advantages. The result of data is in the form of images. Then the images were processed using digital image processing software, called Imagej. The data from Imagej processing were in the form of mean and standard deviation. All data were then recapitulated using Microsoft excel and plotted to form data which was then carried out by a polynomial approach to determine the cut-off point as an early indicator of the beginning of fajr. The method used in this study is using a qualitative analysis method with a polynomial 5 approach. The conclusion obtained in this study is that the government's fajr time is 21 minutes faster. The standard used in this study is a DIP of -13.95. Unlike the SQM with 2D drone data, the 3D version generates more accurate data analysis and is not easy to manipulate because it can be verified with image data.

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“…In contrast, tooth roots are invisible to the human eye. The mandibular bone is the jaw bone where the teeth are attached (Jacobs, 2011;Wilianti & Agoes, 2019).…”

Section: Introductionmentioning

confidence: 99%

Dental X-Ray Radiation Exposure in Radioprotection Cases and Dental Images Repeatability Factors

Amir,

Yunus,

Kurniasari

et al. 2024

EDUPROXIMA

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This research was carried out using a literature review method to determine radioprotection cases and repeatability factors of dental images on dental X-rays. Determination of the repeatability factor for dental photographs using data over three months obtained at Rajawali Citra Hospital, RSUD Dr. Tjitrowardojo Purworejo, and RSUD Muntilan Magelang. Case A, case B, and case C produce high percentage values. This is because dental practitioners consider the provision of protection in reducing the scattered dose of dental X-rays for patients to be often overlooked. Determination of X-ray radiation exposure given by a radiographer does not have significant differences for each patient, such as thin, standard, and obese. Meanwhile, the data on the percentage value of repetition of dental images exceeds the Minimum Hospital Service Standard indicator limit by the Decree of the Minister of Health Number 129 of 2008 concerning the incidence of X-ray service failure, which has a photo failure standard of ≤ 2%. The highest position factor was obtained at Hospital-2 at 75%, and the lowest was obtained at Hospital-1 at 50%. Meanwhile, the highest exposure factor was obtained at Hospital-1 at 39% and the weakest at Hospital-2 at 25%. Position errors made by the radiographer cause position factors, and exposure errors are caused by exposure factors that are too high or low.

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Pengolahan Citra untuk Perbaikan Kualitas Citra Sinar-X Dental Menggunakan Metode Filtering

Cited by 3 publications

References 0 publications

Identifikasi Objek pada Citra Thorax X-Ray Pasien COVID-19 dengan Metode Contrast Limited Adaptive Histogram Equalization (CLAHE)

Identifikasi Objek pada Citra Thorax X-Ray Pasien COVID-19 dengan Metode Contrast Limited Adaptive Histogram Equalization (CLAHE)

Image processing analysis to determine fajr time using the imagej application

Dental X-Ray Radiation Exposure in Radioprotection Cases and Dental Images Repeatability Factors

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