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Workpackage 4 Image Analysis Algorithms Progress Update Dec. 2001. Kirk Martinez, Paul Lewis, David Duplaw, Fazly Abbas, Faizal Fauzi, Mike Westmacott, Marc Chiaverini Intelligence, Agents and Multimedia Research Group Department of Electronics and Computer Science University of Southampton
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Workpackage 4Image Analysis AlgorithmsProgress Update Dec. 2001 Kirk Martinez, Paul Lewis, David Duplaw, Fazly Abbas, Faizal Fauzi, Mike Westmacott, Marc Chiaverini Intelligence, Agents and Multimedia Research Group Department of Electronics and Computer Science University of Southampton UK Review Dec, 2001
Overview • Grey level Histogram • Texture matching and texture segmentation • Query by Low Quality Images • MNS • colour clustering • craquelure detection • Query by Sketch Review Dec, 2001
Progress on TextureSegmentation and Classification • Texture in image processing is concerned with repeating patterns • Work on texture is currently concentrating on wavelets • Wavelet transforms analyse the image according to scale and frequency • Transforms can use different decomposition strategies and different base wavelet functions (cf Fourier which uses sines and cosines only) Review Dec, 2001
Segmentation for Texture Indexing • Idea is to divide the image into major regions of homogeneous texture • Then store representation of each significant texture so that images containing similar textures can be retrieved • eg we have an image of a textile. We may wish to ask, “are there other images containing a similar textile pattern?” • Texture may also be a useful contributing key for style classification Review Dec, 2001
Query by Low Quality Imageseg Faxes • Modified the standard wavelet retrieval to use all but the lowest frequency coefficient • Using a set of 19 faxes we evaluated retrieval by fax using a database of 150 images including the originals for the 19 fax images. Review Dec, 2001
Using Daubechies Wavelets Review Dec, 2001
Fax Queries and Database Image Review Dec, 2001
MNS- Multi-Nodal Signature • Uses colour pair patches as key for matching • Original version only used presence of a colour pairs and no real scope for indexing • Now exploring use of quantised colour pairs, an indexing strategy and use of frequency of occurrence within an image and inverse of document frequency as weightings. Review Dec, 2001
Query By Sketch Review Dec, 2001
Colour Space Custering Review Dec, 2001
Identifying a cluster Review Dec, 2001
Labelling an image with pigment Review Dec, 2001
Crack Detection Vertical + horizontal detection diagonal detection Detected cracks Original image Review Dec, 2001
cracks: another example • Next stage is to classify them Review Dec, 2001