Texture segmentation using local Walsh coefficients
Texture segmentation using local Walsh coefficients
- Author(s): M. Petrou and G. Lazaridis
- DOI: 10.1049/cp:20050089
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- Author(s): M. Petrou and G. Lazaridis Source: IEE International Conference on Visual Information Engineering (VIE 2005), 2005 p. 189 – 194
- Conference: IEE International Conference on Visual Information Engineering (VIE 2005)
- DOI: 10.1049/cp:20050089
- ISBN: 0 86341 507 5
- Location: Glasgow, UK
- Conference date: 4-6 April 2005
- Format: PDF
This paper investigates the use to texture segmentation of features extracted either by convolving an image with 1D Walsh filters or by expanding image patches in terms of Walsh functions. Of all the existing approaches to texture segmentation the most similar to the proposed one is the one based on Laws' masks. So the proposed features are compared with those extracted by Laws' masks. A self-organising map (SOM) is used for the segmentation task. The two approaches are evaluated using both composite and real images available in the VisTex library.
Inspec keywords: transforms; image texture; Walsh functions; self-organising feature maps; image segmentation; feature extraction; convolution
Subjects: Integral transforms; Computer vision and image processing techniques; Optical, image and video signal processing; Integral transforms
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