Pixel-based colour image segmentation using support vector machine for automatic pipe inspection

Authors:
John Mashford;Paul Davis;Mike Rahilly
Affiliations:
Commonwealth Scientific and Industrial Research Organisation, Highett, Vic, Australia;Commonwealth Scientific and Industrial Research Organisation, Highett, Vic, Australia;Commonwealth Scientific and Industrial Research Organisation, Highett, Vic, Australia
Venue:
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Year:
2007

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Abstract

This paper presents a new approach to image segmentation of colour images for automatic pipe inspection. Pixel-based segmentation of colour images is carried out by a support vector machine (SVM) labelling pixels on the basis of local features. Segmentation can be effected by this pixel labelling together with connected component labelling. The method has been tested using RGB, HSB, Gabor, local window and HS feature sets and is seen to work best with the HSB feature set.