Detail publikace

Extraction of retinal vasculature by using morphology in fundus images

Originální název

Extraction of retinal vasculature by using morphology in fundus images

Anglický název

Extraction of retinal vasculature by using morphology in fundus images

Jazyk

en

Originální abstrakt

In this paper algorithm is proposed for detection of vessels present in a fundus image of an eye. Blood vessels extraction and removal are used to detect the other artifacts like lesions, the fovea and optic nerve. The proposed algorithm used the combination of different morphological operators which make this method less complex and also computationally efficient. Two different channels of an image green and L respectively are utilized to get the final vessel structure. This method also gives the region of interest for macula which may make macula detection easy. The proposed algorithm is tested on DRIVE data set of fundus image of an eye. The result gives good detection of vessel structure and the proposed method is computationally efficient.

Anglický abstrakt

In this paper algorithm is proposed for detection of vessels present in a fundus image of an eye. Blood vessels extraction and removal are used to detect the other artifacts like lesions, the fovea and optic nerve. The proposed algorithm used the combination of different morphological operators which make this method less complex and also computationally efficient. Two different channels of an image green and L respectively are utilized to get the final vessel structure. This method also gives the region of interest for macula which may make macula detection easy. The proposed algorithm is tested on DRIVE data set of fundus image of an eye. The result gives good detection of vessel structure and the proposed method is computationally efficient.

BibTex


@inproceedings{BUT163644,
  author="Radim {Burget}",
  title="Extraction of retinal vasculature by using morphology in fundus images",
  annote="In this paper algorithm is proposed for detection of vessels present in a fundus image of an eye. Blood vessels extraction and removal are used to detect the other artifacts like lesions, the fovea and optic nerve. The proposed algorithm used the combination of different morphological operators which make this method less complex and also computationally efficient. Two different channels of an image green and L respectively are utilized to get the final vessel structure. This method also gives the region of interest for macula which may make macula detection easy. The proposed algorithm is tested on DRIVE data set of fundus image of an eye. The result gives good detection of vessel structure and the proposed method is computationally efficient.",
  booktitle="2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)",
  chapter="163644",
  doi="10.1109/SPIN.2015.7095382",
  howpublished="online",
  year="2015",
  month="december",
  pages="139--142",
  type="conference paper"
}