A novel method for compressing color images using binary image segmentation and contour polygons

Author

Nabout, A. ; Tibken, B.

Author_Institution

Fac. of Electr. Inf. & Media Eng., Wuppertal Univ., Germany

fYear

2004

fDate

19-23 April 2004

Firstpage

363

Lastpage

364

Abstract

In this paper, a novel method for compressing color images using binary image segmentation and contour polygons is presented. This method encodes the image information by a number of polygons, which represent image regions with identical bit values in the color components. In the color space model RGB for example all neighbored pixels with the same bit value in the color components R, G or B are merged together to one region. This process allows us to represent a color image by number of binary images, which can be described through their contour polygons. The decompression of the image is achieved through reconstruction of the RGB values of every pixel by reversing the compression process.

Keywords

data compression; edge detection; image coding; image colour analysis; image reconstruction; image segmentation; binary image segmentation; color images compression; color space model; contour polygon; Approximation methods; Automatic control; Color; Data mining; Data structures; Image coding; Image generation; Image reconstruction; Image segmentation; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on

Print_ISBN

0-7803-8482-2

Type

conf

DOI

10.1109/ICTTA.2004.1307780

Filename

1307780