- Author
- Year
- 2005
- Title
- Color texture measurement and segmentation
- Journal
- Signal Processing
- Volume | Issue number
- 85 | 2
- Pages (from-to)
- 265-275
- Number of pages
- 11
- Document type
- Article
- Faculty
- Faculty of Science (FNWI)
- Institute
- Informatics Institute (IVI)
- Abstract
-
In computer vision, meaurement of image properties such as color or texture is essential. In this paper, we propose a solid framework for the local measurement of texture in color images. We give a physical basis for the integration of the well-known Gabor filters with the measurement of color. Our method implies that the color -texture is measured in the wavelength-Fourier domain. The measurement filter in this domain boils down to a 3D Gaussian, representing a Gabor-Gaussian in the spatial color domain. In addition, the extended measurements invariant to shadow or shading can be derived directly form the proposed method. We apply a simple segmentation algorithm to illustrate the performance of our proposed color-texture measurement. The derived color-texture filter is demonstrated to be accurate in capturing texture statistics. In addition, the method is compatible with the measurement of grey-value texture.
(c) 2004 Elsevier B.V. All rights reserved. - URL
- go to publisher's site
- Language
- Undefined/Unknown
- Permalink
- http://hdl.handle.net/11245/1.215387
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