Title :
A trimming algorithm to clean thinned features for feature extraction in image understanding
Author :
Kettler, David I. ; Redding, Nicholas J.
Author_Institution :
Div. of Commun., Defence Sci. & Technol. Organ., Salisbury, SA, Australia
Abstract :
A technique for cleaning up a thinned object in an image is presented. This trimming technique removes extraneous lines due to artifacts in the thinning procedure and certain forms of noise that are present in the original image. The method was developed as a part of a system for extracting information from oblique ionograms. The performance of the method for this case is demonstrated and some implementation details are discussed
Keywords :
computer vision; feature extraction; ionospheric electromagnetic wave propagation; noise; radiowave propagation; software performance evaluation; telecommunication computing; artifacts; extraneous line removal; feature extraction; image understanding; implementation; noise removal; oblique ionograms; performance; thinned feature cleaning; trimming algorithm; Acoustic noise; Australia; Data mining; Feature extraction; Ionosphere; Microwave communication; Microwave theory and techniques; Radar imaging; Shape; Skeleton;
Conference_Titel :
Intelligent Information Systems, 1996., Australian and New Zealand Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3667-4
DOI :
10.1109/ANZIIS.1996.573965
