A new approach to two-dimensional filter for segmenting retinal vascular network from fundus images of premature born

Monserrate Intriago-Pazmino, Julio Ibarra-Fiallo, Raul Alonso-Calvo, Jose Crespo, Antonio Criollo-Ramos

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

There is a wide interest in the segmentation of retinal vessel structure from fundus images of preterm infants. This has lead to focus on the processing of dark or low resolution images acquired with portable medical cameras. The concept of signal matched filter (MF) has been used to recognize the retinal vascular structure and the matched filter and first-order derivative of Gaussian (MFFDOG) method was introduced to get a binarized vascular network. In this paper we present a new variation of MF for segmenting retinal vessels network. We apply the original MF to distinguish the vessels network in a gray scale image. Then we obtain the vascular network as a binary image using an adaptive thresholding based on our denominated hard kernel (MFHK). We have also generalized the application of matched filter with any filter function and any domain. We assessed both methods MFFDOG and MFHK in a set of fifty images of children with retinopathy of prematurity (ROP).

Idioma originalInglés
Título de la publicación alojada2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas405-409
Número de páginas5
ISBN (versión digital)9781538646625
DOI
EstadoPublicada - 18 jun. 2018
Evento17th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017 - Bilbao, Espana
Duración: 18 dic. 201720 dic. 2017

Serie de la publicación

Nombre2017 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017

Conferencia

Conferencia17th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2017
País/TerritorioEspana
CiudadBilbao
Período18/12/1720/12/17

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