Extending connected operators to colour images

Author

Evans, Adrian N. ; Gimenez, David

Author_Institution

Dept. of Electron. & Electr. Eng., Univ. of Bath, Bath

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

2184

Lastpage

2187

Abstract

Connected operators are an important tool for the analysis of greyscale images. In extending them to colour and other vector images there are a number of issues that must be addressed, including the definition of extrema, region merging criterion and the preservation of idempotence. This paper reviews the recently proposed approaches to these problems and considers some of the choices which must be made in the design of effective colour connective operators. An evaluation of the noise reduction performance resulting from these choices is presented. The use of the colour connected sieves in conjunction with the watershed transform for image segmentation is also investigated.

Keywords

image colour analysis; image segmentation; color model; lightweight multiview tracked person descriptor; lightweight object representation; multiple view 3D model; object identification; object tracking; video camera sensor network; video monitoring; video surveillance; Carbon capture and storage; Colored noise; Filtering; Filters; Image analysis; Image color analysis; Image segmentation; Morphological operations; Morphology; Noise reduction; Morphological operations; colour scale-space sieves; connected operators; image processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1522-4880

Print_ISBN

978-1-4244-1765-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2008.4712222

Filename

4712222