Red Profile Moments for Hemorrhage Classification in Diabetic Retinal Fundus Images
- Autores: Tasgaonkar M.1, Khambete M.2
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Afiliações:
- Department of Computer Engineering
- Cummins College of Engineering for Women
- Edição: Volume 29, Nº 2 (2019)
- Páginas: 224-229
- Seção: Mathematical Method in Pattern Recognition
- URL: https://journals.rcsi.science/1054-6618/article/view/195573
- DOI: https://doi.org/10.1134/S1054661819020093
- ID: 195573
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Resumo
Reliable and accurate detection of hemorrhages is essential in screening of diabetic fundus retinal images. The hemorrhages are often irregular in shape. They may occur without any other signs of Diabetic Retinopathy. In this work, we captured the irregularity itself as a feature of hemorrhages. We define profile of segmented region and used its centralized moments as novel feature. The Support Vector Machine and its variants are explored for classification. The experiments show promising results with moments of red channel profile. The accuracy of 98.09% is achieved at lesion level and 100% at image level with RBF SVM. The approach with profile moments possibly can be further experimented further for other irregular object detection.
Sobre autores
Madhuri Tasgaonkar
Department of Computer Engineering
Autor responsável pela correspondência
Email: madhuri.tasgaonkar@cumminscollege.in
Índia, Pune
Madhuri Khambete
Cummins College of Engineering for Women
Autor responsável pela correspondência
Email: principal@cumminscollege.org
Índia, Pune
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