Color image analysis using fuzzy set theory

Author

Yung-Sheng Chen ; Hwang, Hui-YU ; Chen, Bor-Tow

Author_Institution

Dept. of Electr. Eng., Yuan-Ze Inst. of Technol., Taoyuan, Taiwan

Volume

1

fYear

1995

fDate

23-26 Oct 1995

Firstpage

242

Abstract

An application of fuzzy set theory to the color image analysis is presented in this paper. It is developed to inference the weather state from a color image. For a color image, its RGB components are first converted into HSI components. For each component, a 3-layer quadtree is created for image analysis. Then the histogram of each block image from the top layer to bottom layer is computed. The histogram is further converted into a membership function by using the scheme of a 6-parameter fuzzy number. The fuzzy inference for the given image is thus achieved by using the generated membership functions

Keywords

atmospheric techniques; fuzzy set theory; geophysical signal processing; image colour analysis; meteorology; quadtrees; 3-layer quadtree; 6-parameter fuzzy number; HSI components; RGB components; block image; color image analysis; fuzzy inference; fuzzy set theory; histogram; membership function; weather state; Computer vision; Fuzzy set theory; Fuzzy sets; Histograms; Humans; Image analysis; Image color analysis; Image edge detection; Uncertainty; Visual perception;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.529691

Filename

529691