By Topic

Image description and primitive extraction using fuzzy sets

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
$33 $13
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

3 Author(s)
Sankar K. Pal ; Electrical Engng. Dept., Imperial Coll. of Sci. & Technol., London, UK ; Robert A. King ; Abdullah A. Hashim

An application of the theory of fuzzy sets in understanding an image is demonstrated. The task of understanding consists of three parts. A representation of image contours by their respective chains of octal codes, smoothing of the chain to remove spurious wiggles, and segmentation and assignment of degree of `arcness' to each segmented smoothed chain in order to extract their primitives for description. Octal code is provided to a two-pixel or, even more length contour by taking maximum of its grades of membership corresponding to `vertical', `horizontal' and `oblique' lines. Four different smoothers have been used to eliminate the spurious wiggles occurring in the contours. Segmentation of edges into different curves and lines is made on the basis of constant change in code values. The primitives for description and interpretation of images are extracted by assigning the appropriate membership value which provides a measure of curvature to the different arcs. The sense of curving is also determined. The effectiveness of the algorithm is demonstrated when a gray tone edge-detected X-ray image of wrist is considered as input.

Published in:

IEEE Transactions on Systems, Man, and Cybernetics  (Volume:SMC-13 ,  Issue: 1 )