By Topic

Graph-theoretical approach to colour picture segmentation and contour classification

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Vlachos, T. ; Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci. Technol. & Med., London, UK ; Constantinides, A.G.

The procedure aims at identifying, extracting and classifying visually important features on the image plane, such as regions of homogeneous colour and chromatic transitions. Well established principles of colour theory and graph theory are combined to obtain a unified representation of a colour picture. The picture is represented by means of a weighted graph, constructed so as to reflect the specification of the colour space employed as well as important relationships between picture elements. A spanning tree of the graph is obtained by iteratively minimising a specific picture distortion measure. Each partition comprises disjoint regions containing elements with similar attributes. Region contours defined by such partitions form a hierarchy. It is shown that, when texture is combined with colour as joint similarity attributes of regions, an improved hierarchical description of contours is possible.<>

Published in:

Communications, Speech and Vision, IEE Proceedings I  (Volume:140 ,  Issue: 1 )