A digital cellular-based system for retinal vessel-tree extraction

Author

Resco, César Díaz ; Nieto, Alejandro ; Osorio, Roberto R. ; Brea, Victor M. ; Vilariño, David L.

Author_Institution

Dept. of Electron. & Comput. Sci., Univ. of Santiago de Compostela, Santiago de Compostela, Spain

fYear

2009

Firstpage

835

Lastpage

838

Abstract

Nowadays, the advances in the semiconductor industry allow to include a considerable number of fully digital processing elements on a chip. These massively parallel processor arrays are already able to host cellular wave computing algorithms with acceptable time performance. In this paper we approach the implementation of an originally CNN based algorithm for retinal vessel tree extraction on the Ambric´s parallel processor array Am2045, provided with 336 32bit processing elements. Results and measured data are included.

Keywords

cellular neural nets; lab-on-a-chip; medical image processing; microprocessor chips; parallel processing; Ambrics parallel processor array Am2045; CNN based algorithm; acceptable time performance; digital cellular based system; digital processing chip; host cellular wave computing algorithm; massively parallel processor array; retinal vessel tree extraction; semiconductor industry; storage capacity 32 bit; Computer science; Concurrent computing; Data mining; Electronics industry; Frequency; Hardware; Image processing; Industrial electronics; Microprocessors; Retina;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuit Theory and Design, 2009. ECCTD 2009. European Conference on

Conference_Location

Antalya

Print_ISBN

978-1-4244-3896-9

Electronic_ISBN

978-1-4244-3896-9

Type

conf

DOI

10.1109/ECCTD.2009.5275113

Filename

5275113