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HYBRID GAMMA CORRECTION MULTIVARIASI DENGAN METODE LOCAL CONTRAST UNTUK PERBAIKAN CITRA RETINA PADA DATASET STRUCTURED ANALYSIS OF THE RETINA

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Penilaian

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Retinal image is one of the features that can provide information about abnormalities in the retinal blood vessels. However, the retinal image produced by the camera has a lot of noise which can lead to misdiagnosis. This study uses a Structured Analysis of the Retina (STARE) datasets. RGB image is converted to grayscale first. The grayscale image is then applied gamma correction. The Gamma correction process applies 3 (three) different Gamma values and the results are compared to find the best Gamma value. The CLAHE operation is then applied to the image for histogram equalization. The application of the local contrast method to sharpen the edges of the blood vessels. The last step is noise removal by comparing the Median filter and the Gaussian filter. The parameters used in this study are Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index (SSIM). The test results for each parameter obtained a gamma value of 0.5 and the Gaussian filter got the best results.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000008	T39037	T390372020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T390372020

Publisher

Indreralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer., 2020

Collation

xiv, 40 hlm.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.

Content Type

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Media Type

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Carrier Type

-

Edition

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Subject(s)

Sistem komputer
Pemograman Komputer

Specific Detail Info

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Statement of Responsibility

NO

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