Perbandingan Metode High-Frequency Emphasis (HFE) Dan Contrast Limited Adaptive Histogram Equalization (CLAHE) Dalam Perbaikan Kualitas Citra Penginderaan Jauh  (Remote Sensing)

Zakaria, Andi Irvan; Ernawati, Ernawati; Vatresia, Arie; Oktoeberza, Widhia K.Z.

doi:10.33369/pseudocode.6.2.125-137

Cited by 3 publications

(6 citation statements)

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“…The method can produce images that much better than the image of the original that has not been processed [9]. The performance of the CLAHE method is better than the High-Frequency Emphasis (HFE) method in improving image quality [10]. The stages of the CLAHE method are as follows [9], [11]:…”

Section: Data Pre-processingmentioning

confidence: 99%

Pneumonia identification based on lung texture analysis using modified k-nearest neighbour

Saputra

Taufik

Hidayat

et al. 2022

J. Phys.: Conf. Ser.

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Covid-19 is a virus that was first discovered in China, which has the impact of mild and severe respiratory infections such as pneumonia. Pneumonia is inflammation and consolidation of lung tissue due to infectious agents. Generally pneumonia has a high mortality rate, as do Covid-19 patients. For now, it is very difficult to distinguish between Pneumonia and Covid-19, due to the high similarity of X-Ray image results. The high similarity has an impact on the difficulty of difference between Pneumonia and Covid-19 patients. This research aims to be able to different Pneumonia and Covid-19 patients based on texture analysis of the Gray Level Co-Occurrence Matrix using Modified k-Nearest Neighbour as a classifier. The calculations used in the Gray Level Co-Occurrence Matrix method are Contrast, Correlation, Energy, and Homogeneity which will be input for the Modified k-Nearest Neighbour classifier. The results showed that the highest accuracy is when the value of K = 3 using Manhattan Distance and 80%:20% data percentage, which is 87.5%. For the values of K = 7 and K = 9 there is no change in accuracy, so it can be concluded that the value of K that affects accuracy only occurs at the values of K = 3 and K = 5. Then, the higher the K value, the lower the resulting accuracy.

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Section: Data Pre-processingmentioning

confidence: 99%

Pneumonia identification based on lung texture analysis using modified k-nearest neighbour

Saputra

Taufik

Hidayat

et al. 2022

J. Phys.: Conf. Ser.

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“…Image Enchancement merupakan tahap dalam proses awal pengolahan citra digital (Image Preprocessing). Tahap ini perlu dilakukan karena sering kali citra memiliki kualitas yang kurang baik atau buruk seperti citra mengalami noise (derau), terlalu terang / gelap, kurang tajam, kabur, dll [7].…”

Section: B Image Enhancementunclassified

“…Nilai MSE yang dihasilkan apabila semakin rendah dan mendekati 0 (nol), maka akan semakin semakin mirip dengan citra aslinya dan bagus kualitas citra tersebut [7].…”

Section: E Mean Square Error (Mse)unclassified

“…PSNR adalah metode digunakan untuk mengukur sistem rekonstruksi resolusi gambar. Semakin besar nilai PSNR yang dihasilkan, maka kualitas gambar akan semakin baik dan memiliki PNSR diatas 30dB [7,9].…”

Section: F Peak Signal Noise Ratio (Psnr)unclassified

“…Berdasarkan hasil pengujian, dapat ditarik kesimpulan bahwa rata-rata nilai MSE untuk distribusi Rayleigh mempunyai nilai rata-rata MSE yang paling rendah sebesar 0.01474 dibandingkan nilai rata-rata MSE untuk distribusi Uniform sebesar 0.01530 dan distribusi Exponential sebesar 0.01607. Nilai MSE yang dihasilkan apabila semakin rendah dan mendekati 0 (nol), maka akan semakin semakin mirip dengan citra aslinya dan bagus kualitas citra tersebut [7].…”

Section: Tahap Implementasi Dan Pengujianunclassified

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Peningkatan Kualitas Citra X-Ray Paru-Paru Pasien Covid-19 Menggunakan Metode Contrast Limited Adaptive Histogram Equalization

Tinaliah¹,

Elizabeth²

2020

JurTI

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- Covid-19 is currently a pandemic around the world, and until now there has been no specific cure for this disease. An x-ray examination of the lungs is one of the tests that can be done to detect Covid-19. X-ray results must be read carefully to determine whether the patient is really exposed to Covid-19. Improved quality of x-ray images is needed to help doctors or health practitioners see more clearly the x-ray results of the lungs. One of the methods used to improve image quality is the CLAHE method. This method is a simple and efficient method to implement and is able to produce a better image than the original, unprocessed image. Based on the test results, it can be concluded that the CLAHE method can improve the quality of x-ray images of the lungs. The CLAHE method with the Rayleigh distribution has the lowest average MSE value of 0.01474 and has the highest average PSNR value of 18.6642 dB compared to the Uniform distribution and the Exponential distribution.Keywords - Covid-19, Lung X-ray, Image Enhancement, and CLAHE. Abstrak – Covid-19 saat ini telah menjadi pandemi di seluruh dunia. Obat khusus untuk penyakit covid-19 sampai saat ini belum ditemukan. Covid-19 dapat dideteksi dengan melakukan pemeriksaan menyeluruh, yaitu salah satunya dengan menggunakan pemeriksaan x-ray paru-paru. Pembacaan hasil x-ray harus dilakukan secara teliti untuk menentukan apakah pasien benar terkena Covid-19. Untuk membantu dokter ataupun praktisi kesehatan dalam lebih jelas untuk melihat hasil x-ray paru-paru, maka dibutuhkan peningkatan kualitas citra x-ray agar hasil kualitas citra dapat lebih baik dan lebih jelas dibaca. Metode CLAHE merupakan metode yang dapat digunakan untuk peningkatan kualitas citra. Metode ini merupakan metode yang simpel dan efisien untuk diimplementasi, serta dapat menghasilkan citra yang lebih baik. Berdasarkan hasil pengujian dapat disimpulkan bahwa dengan menerapkan metode CLAHE hasil kualitas citra x-ray paru-paru dapat lebih ditingkatkan. Nilai rata – rata MSE Metode CLAHE dengan distribusi Rayleigh mempunyai nilai rata – rata yang paling rendah sebesar 0.01474, dan mempunyai nilai rata – rata PSNR yang paling tinggi sebesar 38.6642 dB dibandingkan distribusi Uniform dan distribusi Exponential.Kata Kunci - Covid-19, X-ray Paru-Paru, Peningkatan Kualitas Citra, dan CLAHE.

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The Analysis of Underwater Imagery System for Armor Unit Monitoring Application

Sari,

Marta,

Amin A

et al. 2023

Int. J. Artif. Intell. Robot.

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The placement of armor units for breakwaters in Indonesia is still done manually, which depends on divers in each placement of the armor unit. The use of divers is less effective due to limited communication between divers and excavator operators, making divers in the water take a long time. This makes the diver's job risky and expensive. This research presents a vision system to reduce the diver's role in adjusting the position of each armor unit. This vision system is built with two cameras connected to a mini-computer. This system has an image improvement process by comparing three methods. The results obtained are an average frame per second is 20.71 without applying the method, 0.45 fps for using the multi-scale retinex with color restoration method, 16.75 fps for applying the Contrast Limited Adaptive Histogram Equalization method, 16.17 fps for applying the Histogram Equalization method. The image quality evaluation uses the underwater color quality evaluation with 48 data points. The method that has experienced the most improvement in image quality is multi-scale retinex with color restoration. Forty data have improved image quality with an average of 14,131, or 83.33%. The number of images that experienced the highest image quality improvement was using the multi-scale retinex with color restoration method. Meanwhile, for image quality analysis based on Underwater Image Quality Measures, out of a total of 48 images, the method with the highest value for image quality is the contrast limited adaptive histogram equalization method. 100% of images have the highest image matrix value with an average value is 33.014.

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Perbandingan Metode High-Frequency Emphasis (HFE) Dan Contrast Limited Adaptive Histogram Equalization (CLAHE) Dalam Perbaikan Kualitas Citra Penginderaan Jauh (Remote Sensing)

Cited by 3 publications

References 0 publications

Pneumonia identification based on lung texture analysis using modified k-nearest neighbour

Pneumonia identification based on lung texture analysis using modified k-nearest neighbour

Peningkatan Kualitas Citra X-Ray Paru-Paru Pasien Covid-19 Menggunakan Metode Contrast Limited Adaptive Histogram Equalization

The Analysis of Underwater Imagery System for Armor Unit Monitoring Application

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