Deteksi Penyakit Mata Merah Menggunakan Histogram Oriented Gradient dan Support Vector Machine


  • Siti Sarah Abdullah Universitas Suryakancana
  • Syamsy Wiguna Putra Dwi Raksa Universitas Suryakancana


Red eye disease, Histogram Oriented Gradient, Support Vector Machine


The health sector has adopted Information Technology to help medical expert work easier, include ophthalmologists. An Ophthalmologists diagnoses red eyes with test series to determine diseases of the eye. It takes time and accuracy. Further searching, it turns out that red eyes have a pattern that indicates a certain disease. The research idea is to identify red eye patterns, which is done by identifying patterns in red eye disesase using the Histogram Oriented Gradient (HOG). As a sample, two cases of red eye disease were taken: conjunctival injection and ciliary injection. First step is preprocessing stage, which is specifying the image according to the needs, then converting the colored object to grayscale, then croped and resized it. Next step is calculated gradient of pixels. Result of the resaeGradients resulted classified using Support Vector Machine. The result obtained from the study, could be detected conjunctival injection and ciliary injection based on classification


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How to Cite

Abdullah, S. S. ., & Dwi Raksa, S. W. P. . (2022). Deteksi Penyakit Mata Merah Menggunakan Histogram Oriented Gradient dan Support Vector Machine. Prosiding Seminar Nasional Ilmu Sosial Dan Teknologi (SNISTEK), 4, 216–219. Retrieved from