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Classification of Painting Cracks for Content-based Retrieval

(2003) Classification of Painting Cracks for Content-based Retrieval Abas, FS and Martinez, K (eds.) At IS&T/SPIE's 15th Annual Symposium Electronic Imaging 2003 : Machine Vision Applications in Industrial Inspection XI, United States. 20 - 24 Jan 2003.

Record type: Conference or Workshop Item (Other)

Abstract

In this paper we present steps taken to implement a content-based analysis of crack patterns in paintings. Cracks are first detected using a morphological top-hat operator and grid-based automatic thresholding. From a 1-pixel wide representation of crack patterns, we generate a statistical structure of global and local features from a chain-code based representation. A well structured model of the crack patterns allows post-processing to be performed such as pruning and high-level feature extraction. High-level features are extracted from the structured model utilising information mainly based on orientation and length of line segments. Our strategy for classifying the crack patterns makes use of an unsupervised approach which incorporates fuzzy clustering of the patterns. We present results using the fuzzy k-means technique.

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More information

Published date: 2003
Additional Information: Event Dates: 20-24 January
Venue - Dates: IS&T/SPIE's 15th Annual Symposium Electronic Imaging 2003 : Machine Vision Applications in Industrial Inspection XI, United States, 2003-01-20 - 2003-01-24
Keywords: Feature extraction, morphological ?lters, crack detection, clustering
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 257294
URI: http://eprints.soton.ac.uk/id/eprint/257294
PURE UUID: 105a8c84-a95e-46e8-814f-b4d0800620f4
ORCID for K Martinez: ORCID iD orcid.org/0000-0003-3859-5700

Catalogue record

Date deposited: 20 Feb 2003
Last modified: 18 Jul 2017 09:39

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Contributors

Editor: FS Abas
Editor: K Martinez ORCID iD

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