Optic disc and macula detection in fundus images by means of template matching.
EMBC(2014)
摘要
Various methods for detecting optic disc and macula in fundus images have been developed. Our aim is to propose a fairly easy method for detecting both features jointly. This is achieved by first correcting in homogenous luminosity using a polynomial approximation of the background of the images. Secondly, the use of the cross-correlation in the frequency domain between the images and a steerable template which contains both structures. The 38 photographs used in this work belong to a local database of patients suffering diabetic retinopathy along its four severity stages. Our results showed 100% optic disc centers located within the OD area and 90% macula centers located within the MC area.
更多查看译文
关键词
eye,template matching,homogenous luminosity correction,diseases,optic disc detection,biomedical optical imaging,diabetic retinopathy,feature detection,polynomial approximation,feature extraction,macula detection,vision defects,photographs,cross-correlation,medical image processing,fundus images,optical imaging,diabetes,polynomials
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要