DocumentCode :
2174088
Title :
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
Link To Document :
بازگشت