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A Study on Hemorrhage Detection Using Hybrid Method in Fundus Images

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Abstract

Image processing of a fundus image is performed for the early detection of diabetic retinopathy. Recently, several studies have proposed that the use of a morphological filter may help extract hemorrhages from the fundus image; however, extraction of hemorrhages using template matching with templates of various shapes has not been reported. In our study, we applied hue saturation value brightness correction and contrast-limited adaptive histogram equalization to fundus images. Then, using template matching with normalized cross-correlation, the candidate hemorrhages were extracted. Region growing thereafter reconstructed the shape of the hemorrhages which enabled us to calculate the size of the hemorrhages. To reduce the number of false positives, compactness and the ratio of bounding boxes were used. We also used the 5 × 5 kernel value of the hemorrhage and a foveal filter as other methods of false positive reduction in our study. In addition, we analyzed the cause of false positive (FP) and false negative in the detection of retinal hemorrhage. Combining template matching in various ways, our program achieved a sensitivity of 85% at 4.0 FPs per image. The result of our research may help the clinician in the diagnosis of diabetic retinopathy and might be a useful tool for early detection of diabetic retinopathy progression especially in the telemedicine.

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Acknowledgments

This work was supported by a research grant from Seoul industrial-educational cooperation project (grant ST090841) and the original project of National Cancer Center, Korea (grant 0810122).

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Authors and Affiliations

  1. Biomedical Engineering Branch, Division of Basic & Applied Sciences, National Cancer Center, 111 Jungbalsan-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do, 410-769, South Korea

    Jang Pyo Bae, Kwang Gi Kim, Ho Chul Kang & Chang Bu Jeong

  2. Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea

    Kyu Hyung Park & Jeong-Min Hwang

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  1. Jang Pyo Bae
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  2. Kwang Gi Kim
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  3. Ho Chul Kang
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  4. Chang Bu Jeong
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  5. Kyu Hyung Park
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  6. Jeong-Min Hwang
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Correspondence to Kwang Gi Kim.

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Bae, J.P., Kim, K.G., Kang, H.C. et al. A Study on Hemorrhage Detection Using Hybrid Method in Fundus Images. J Digit Imaging 24, 394–404 (2011). https://doi.org/10.1007/s10278-010-9274-9

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  • DOI: https://doi.org/10.1007/s10278-010-9274-9

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