A new approach of geodesic reconstruction for drusen segmentation in eye fundus images

被引:30
作者
Ben Sbeh, Z
Cohen, LD
Mimoun, G
Coscas, G
机构
[1] Univ Paris 09, CEREMADE, F-75775 Paris 16, France
[2] IT Consulting Co, Ariane Grp, Paris, France
[3] Eye Univ Creteil, F-94010 Creteil, France
关键词
drusen; edge detection; eye fundus angiography; geodesic reconstruction; image segmentation; mathematical morphology; registration;
D O I
10.1109/42.974927
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Segmentation of bright blobs in an image is an important problem in computer vision and particularly in biomedical imaging. In retinal angiography, segmentation of drusen, a yellowish deposit located on the retina, is a serious challenge in proper diagnosis and prevention of further complications. Drusen extraction using classic segmentation methods does not lead to good results. We present a new segmentation method based on new transformations we introduced in mathematical morphology. It is based on the search for a new class of regional maxima components of the image. These maxima correspond to the regions inside the drusen. We present experimental results for drusen extraction using images containing examples having different types and shapes of drusen. We also apply our segmentation technique to two important cases of dynamic sequences of drusen images. The first case is for tracking the average gray level of a particular drusen in a sequence of angiographic images during a fluorescein exam. The second case is for registration and matching of two angiographic images from widely spaced exams in order to characterize the evolution of drusen.
引用
收藏
页码:1321 / 1333
页数:13
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