The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Automated Feature Extraction in Color Retinal Images by a Model Based Approach
Abstract
Color retinal photography is an important tool to detect the evidence of various eye diseases. Novel methods to extract the main features in color retinal images have been developed in this paper. Principal component analysis is employed to locate optic disk; A modified active shape model is proposed in the shape detection of optic disk; A fundus coordinate system is established to provide a better description of the features in the retinal images; An approach to detect exudates by the combined region growing and edge detection is proposed. The success rates of disk localization, disk boundary detection, and fovea localization are 99%, 94%, and 100%, respectively. The sensitivity and specificity of exudate detection are 100% and 71%, correspondingly. The success of the proposed algorithms can be attributed to the utilization of the model-based methods. The detection and analysis could be applied to automatic mass screening and diagnosis of the retinal diseases.
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A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
Cited by
the DIARETDB1 diabetic retinopathy database and evaluation protocol
Kauppi, T., Kalesnykiene, V., Kamarainen, J.-K., Lensu, L., Sorri, I., Raninen, A., Voutilainen, R., Uusitalo, H., Kalviainen, H., & Pietila, J. (2007) · Procedings of the British Machine Vision Conference 2007 · doi:10.5244/c.21.15 · Cited by 854
Metadata
- Authors
- Li, H., & Chutatape, O.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2004-02
- Volume
- 51
- Issue
- 2
- Pages
- 246-254
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2169736040
- Cited by
- 545
- References
- 2
- FWCI
- 8.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, H., & Chutatape, O. (2004). Automated Feature Extraction in Color Retinal Images by a Model Based Approach. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/tbme.2003.820400
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