Classification of Painting Cracks for Content-based Retrieval
(2003) Classification of Painting Cracks for Content-based Retrieval. IS&T/SPIE's 15th Annual Symposium Electronic Imaging 2003 : Machine Vision Applications in Industrial Inspection XI, Santa Clara, California, USA, 20 - 24 Jan 2003.
Download
![[img]](http://eprints.soton.ac.uk/style/images/fileicons/application_pdf.png) |
PDF
Download (1411Kb) |
Description/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.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | Event Dates: 20-24 January |
| Keywords: | Feature extraction, morphological filters, crack detection, clustering |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > Web & Internet Science |
| Item ID: | 257294 |
| Date Deposited: | 20 Feb 2003 |
| Last Modified: | 02 Mar 2012 03:54 |
| Contributors: | Abas, FS (Editor) Martinez, K (Editor) |
| Date: | 2003 |
| Additional Information: | Event Dates: 20-24 January |
| Status: | Published |
| Further Information: | Google Scholar |
| URI: | http://eprints.soton.ac.uk/id/eprint/257294 |
Actions (login required)
 |
View Item |
