Color Texture Measurement and Segmentation M. A. Hoang, J. M. Geusebroek, A. W. M. Smeulders In Signal Processing 2005. [bibtex] [pdf] [url]

In computer vision, measurement 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 from 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.



The texture segmentation algorithm evaluation by Michal Haindl.

@Article{HoangSP2005,
  author       = "Hoang, M. A. and Geusebroek, J. M. and Smeulders, A. W. M.",
  title        = "Color Texture Measurement and Segmentation",
  journal      = "Signal Processing",
  number       = "2",
  volume       = "85",
  pages        = "265--275",
  year         = "2005",
  url          = "https://ivi.fnwi.uva.nl/isis/publications/2005/HoangSP2005",
  pdf          = "https://ivi.fnwi.uva.nl/isis/publications/2005/HoangSP2005/HoangSP2005.pdf",
  has_image    = 1
}