1 / 16

Workpackage 4 Image Analysis Algorithms Progress Update Sept. 2001

Workpackage 4 Image Analysis Algorithms Progress Update Sept. 2001. Kirk Martinez, Paul Lewis, Fazly Abbas, Faizal Fauzi, Mike Westmacott, Marc Chiaverini Intelligence, Agents and Multimedia Research Group Department of Electronics and Computer Science University of Southampton UK. Overview.

helenah
Download Presentation

Workpackage 4 Image Analysis Algorithms Progress Update Sept. 2001

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Workpackage 4Image Analysis AlgorithmsProgress Update Sept. 2001 Kirk Martinez, Paul Lewis, Fazly Abbas, Faizal Fauzi, Mike Westmacott, Marc Chiaverini Intelligence, Agents and Multimedia Research Group Department of Electronics and Computer Science University of Southampton UK PMT meeting, Sept 22, 2001

  2. Overview • Progress on Texture-Segmentation and Classification • Query by Low Quality Images • MNS • Query by Sketch • colour clustering • craquelure detection PMT meeting, Sept 22, 2001

  3. 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) PMT meeting, Sept 22, 2001

  4. 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 PMT meeting, Sept 22, 2001

  5. 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. PMT meeting, Sept 22, 2001

  6. Using Daubechies Wavelets PMT meeting, Sept 22, 2001

  7. Fax Queries and Database Image PMT meeting, Sept 22, 2001

  8. PMT meeting, Sept 22, 2001

  9. PMT meeting, Sept 22, 2001

  10. 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. PMT meeting, Sept 22, 2001

  11. Query By Sketch • No work yet but could use paint package to create sketch and feed into M-CCV or MNS algorithms PMT meeting, Sept 22, 2001

  12. Colour Space Custering PMT meeting, Sept 22, 2001

  13. Identifying a cluster PMT meeting, Sept 22, 2001

  14. Labelling an image with pigment PMT meeting, Sept 22, 2001

  15. Crack Detection Vertical + horizontal detection diagonal detection Detected cracks Original image PMT meeting, Sept 22, 2001

  16. cracks: another example • Next stage is to classify them! PMT meeting, Sept 22, 2001

More Related