Human brain inspired still and moving image processing

Author

Sergiadis, George D. ; Alexiadis, Dimitrios S.

Author_Institution

Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece

fYear

2010

fDate

1-2 July 2010

Firstpage

100

Lastpage

104

Abstract

Even the tiniest fly has faster analysis and processing capabilities than most of our complex calculating devices. Real time processing and recognition capability by the human brain of both still and moving images is well beyond any known artificial computer based system. Our research team tried to explore some still and moving image processing techniques that are better suited to be used by biological computers, or brains, in an effort to benefit from Nature´s experience and wealth. Intuitionistic fuzzy image processing, spatiotemporal motion estimation approaches and hypercomplex color image processing are among them.

Keywords

biocomputing; brain; image motion analysis; image resolution; real-time systems; artificial computer based system; biological computers; human brain inspired; hypercomplex color image processing; intuitionistic fuzzy image processing; spatiotemporal motion estimation approach; Biology computing; Filters; Frequency domain analysis; Fuzzy sets; Humans; Image processing; Motion estimation; Pixel; Spatiotemporal phenomena; Telecommunication computing; component; image processing; intuitionistic fuzzy sets; k-space; motion estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Imaging Systems and Techniques (IST), 2010 IEEE International Conference on

Conference_Location

Thessaloniki

Print_ISBN

978-1-4244-6492-0

Type

conf

DOI

10.1109/IST.2010.5548499

Filename

5548499