A fast fuzzy decision tree for color filtering

Author

Tusor, Balazs ; Varkonyi-Koczy, Annamaria R. ; Takacs, Marta ; Toth, Janos T.

Author_Institution

Integrated Intell. Syst. Japanese-Hungarian Lab., Obuda Univ., Budapest, Hungary

fYear

2015

fDate

15-17 May 2015

Firstpage

1

Lastpage

6

Abstract

Fuzzy decision trees have been gaining popularity in the past two decades. They are the fuzzy extensions of crisp decision trees, introducing fuzzy logic into the nodes of the tree, thus making their generalization capabilities more robust. This paper presents a fuzzy decision tree architecture that is optimized for quick inference, in order to make the classification process as fast as possible. Furthermore, two training algorithms are presented to incrementally train fuzzy decision trees for realtime classification applications.

Keywords

decision trees; fuzzy set theory; image classification; image colour analysis; image filtering; color filtering; crisp decision tree; fuzzy decision tree architecture; fuzzy extension; fuzzy logic; real- time classification application; Algorithm design and analysis; Classification algorithms; Decision trees; Image color analysis; Inference algorithms; Silicon; Training; classification; color filtering; decision trees; fuzzy decision trees; human skin detection; image processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing (WISP), 2015 IEEE 9th International Symposium on

Conference_Location

Siena

Type

conf

DOI

10.1109/WISP.2015.7139160

Filename

7139160