Grammar-based image segmentation with taking care about runtime and accuracy constraints

Author

Hamdi, Salah ; Abdallah, Abderazek ; Bedoui, Mohamed Hedi

Author_Institution

Fac. of Med. of Monastir (FMM), Lab. of Med. Image Process. (LTIM), Tunisia

fYear

2012

fDate

16-17 July 2012

Firstpage

1

Lastpage

6

Abstract

Theory of Language and Compilation (TLC) is a generative mechanism that can recognize all the words for a given language. Thus, the aim of this paper is to exploit this theory on image processing domain and particularly on image segmentation field. We achieve to define an image as a set of letters based on image vocabulary and use grammar formalism for describing an object. This lasted one is assimilated as word recognized by an automaton. We will show how the idea of the TLC is applied for real and synthetic image with possibility of taking care about runtime and accuracy constraints. This type of task helps enough at some point in real time image and video processing application.

Keywords

grammars; image segmentation; video signal processing; TLC; accuracy constraints; grammar formalism; image processing application; image segmentation field; image vocabulary; real image; runtime; synthetic image; theory of language and compilation; video processing application; Accuracy; Grammar; Image edge detection; Image segmentation; Runtime; Time factors; Vocabulary; Grammar; Image segmentation; Real time application; TLC.; Time and accuracy constraints;

fLanguage

English

Publisher

ieee

Conference_Titel

Imaging Systems and Techniques (IST), 2012 IEEE International Conference on

Conference_Location

Manchester

Print_ISBN

978-1-4577-1776-5

Type

conf

DOI

10.1109/IST.2012.6403796

Filename

6403796