A new approach to automatically extract the main features in color fundus images is proposed. The optic disk is localized by principal component analysis (PCA).

A new approach to automatically extract the main features in color fundus images are proposed in this paper. Optic disk is localized by the principal ...

A new approach to automatically extract the main features in color fundus images is proposed. The optic disk is localized by principal component analysis ...

Abstract: A new approach to automatically extract the main features in color fundus images is proposed. The optic disk is localized by principal component ...

A new approach to automatically extract the main features in color fundus images is proposed, and the success rates achieved are 99%, 94%, and 100% for disk ...

A new approach to automatically extract the main features in color fundus images are proposed in this paper. Optic disk is localized by the principal ...

The algorithm is based on Discrete Cosine Transform (DCT) analysis and SVM makes use of color information to perform the classification of retinal exudates. We ...

Model-based approach for automated feature extraction in color fundus images · Huiqi Li · Published 2003 · Medicine, Computer Science, Engineering.

TL;DR: A new approach to automatically extract the main features in color fundus images is proposed, and the success rates achieved are 99%, 94%, and 100% for ...

This thesis focuses on the development of algorithms to automatically extract features in the color fundus images. URI: http://hdl.handle.net/10356/4631.