Similarity colour morphology

Author

Chun-Wei Yeh ; Pycock, David

Author_Institution

Sch. of Electron., Electr. & Comput. Eng., Univ. of Birmingham, Birmingham, UK

fYear

2013

fDate

17-18 Sept. 2013

Firstpage

71

Lastpage

76

Abstract

Mathematical morphology was developed for binary images and extended to grey-level images. To date there is no widely accepted extension of mathematical morphology to colour. We present a unifying concept for binary, grey-level and colour morphology introducing similarity measures to form classes of colour morphological operators. We define similarity criteria as the basis for mathematical morphology with flat and non-flat structuring elements. Results for dilation, erosion and hit-or-miss transforms on binary, grey-level and colour images are presented.

Keywords

image colour analysis; mathematical morphology; transforms; binary images; binary morphology; dilation transforms; erosion transforms; flat structuring elements; grey-level images; grey-level morphology; hit-or-miss transforms; mathematical morphology; nonflat structuring elements; similarity-based colour morphology; Educational institutions; Finite element analysis; Image color analysis; Lattices; Morphology; Transforms; Vectors; Colour morphology; dilation; erosion; hit-or-miss transform; non-flat structuring element;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Electronic Engineering Conference (CEEC), 2013 5th

Conference_Location

Colchester

Type

conf

DOI

10.1109/CEEC.2013.6659448

Filename

6659448