A-IFS Histon Based Multithresholding Algorithm for Color Image Segmentation

Author

Mushrif, Milind M. ; Ray, Ajoy K.

Author_Institution

Dept. of Electron. & Electr. Commun. Eng., IIT Kharagpur, Kharagpur

Volume

16

Issue

3

fYear

2009

fDate

3/1/2009 12:00:00 AM

Firstpage

168

Lastpage

171

Abstract

A novel multithresholding algorithm for color image segmentation is presented here using the concept of A-IFS histon obtained from Atanassov´s Intuitionistic Fuzzy Set (A-IFS) representation of the image. A-IFS histon, an encrustation of the histogram, consists of the pixels that belong to the set of similar color pixels. In a rough set theoretic sense, A-IFS histon and the histogram can be correlated to upper and lower approximations, respectively. A multithresholding algorithm, using roughness index, is then employed to get optimum threshold values for color image segmentation. The qualitative and quantitative comparison of the proposed method against the histogram based and the conventional histon-based segmentations proves its superiority.

Keywords

fuzzy set theory; image colour analysis; image segmentation; A-IFS histon; Atanassov intuitionistic fuzzy set; color image segmentation; multithresholding algorithm; roughness index; Cameras; Color; Computational efficiency; Digital images; Fuzzy sets; Histograms; Image processing; Image segmentation; Pattern recognition; Set theory; Atanassov´s intuitionistic fuzzy set; color image segmentation; histon; rough set;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2008.2010820

Filename

4776579