A new strategy for applying grammatical inference to image classification problems

Author

Pistori, H. ; Calway, Andrew ; Flach, P.

Author_Institution

INOVISAO Comput. Vision Lab., Dom Bosco Catholic Univ., Campo Grande, Brazil

fYear

2013

fDate

25-28 Feb. 2013

Firstpage

1032

Lastpage

1037

Abstract

This paper presents a new strategy to represent an image as a string so that standard grammar induction techniques can be used in computer vision problems. Two sets of experiments using an artificial and a real dataset have been conducted in order to explore the new strategy parameters and to have a first glimpse on its comparative performance against some standard machine learning techniques. The results are encouraging and the proposal opens new paths of exploration for syntactical pattern recognition.

Keywords

computer vision; grammars; image classification; inference mechanisms; learning (artificial intelligence); comparative performance; computer vision problems; grammatical inference; image classification problems; image represent strategy; standard grammar induction techniques; standard machine learning techniques; syntactical pattern recognition; Dictionaries; Feature extraction; Grammar; Inference algorithms; Standards; Training; Visualization; Grammar Inference; Image Processing; Syntactical Pattern Recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology (ICIT), 2013 IEEE International Conference on

Conference_Location

Cape Town

Print_ISBN

978-1-4673-4567-5

Electronic_ISBN

978-1-4673-4568-2

Type

conf

DOI

10.1109/ICIT.2013.6505814

Filename

6505814