Comput Methods Programs Biomed - Fovea center detection based on the retina anatomy and mathematical morphology.

Tópicos

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{ imag(1057) registr(996) error(939) }
{ method(1557) propos(1049) approach(1037) }
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{ featur(1941) imag(1645) propos(1176) }
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{ method(2212) result(1239) propos(1039) }

Resumo

In this work, we present a new fovea center detection method for color eye fundus images. This method is based on known anatomical constraints on the relative locations of retina structures, and mathematical morphology. The detection of this anatomical feature is a prerequisite for the computer aided diagnosis of several retinal diseases, such as Diabetic Macular Edema. The proposed method is adaptive to local illumination changes, and it is robust to local disturbances introduced by pathologies in digital color eye fundus images (e.g. exudates). Our experimental results using the DRIVE image database indicate that our method is able to detect the fovea center in 37 out of 37 images (i.e. with a success rate of 100%). Using the DIARETDB1 database, our method was able to detect the fovea center in 92.13% of all tested cases (i.e. in 82 out of 89 images). These results indicate that our approach potentially can achieve a better performance than comparable methods proposed in the literature.

Resumo Limpo

work present new fovea center detect method color eye fundus imag method base known anatom constraint relat locat retina structur mathemat morpholog detect anatom featur prerequisit comput aid diagnosi sever retin diseas diabet macular edema propos method adapt local illumin chang robust local disturb introduc patholog digit color eye fundus imag eg exud experiment result use drive imag databas indic method abl detect fovea center imag ie success rate use diaretdb databas method abl detect fovea center test case ie imag result indic approach potenti can achiev better perform compar method propos literatur

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