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Image Texture

  • By: Ryan R. Jensen
  • In: Encyclopedia of Geography
  • Edited by: Barney Warf
  • Subject:General Geography, Earth & Environmental Science

Image texture refers to the subtle spectral differences present in digital or analog images and is defined as the spatial variation in pixel intensities or brightness values. The two most common ways to compute image texture are through first-order or second-order gray-level statistics. First-order texture statistics of local areas can be computed for means, standard deviation, and variance, among others. When computing these values, a moving window (e.g., a 3 × 3 pixel window) computes the mean (or one of the other statistics), which is then assigned to the center pixel. For example, a 3 × 3 moving window can be used to calculate the standard deviation for the center pixel. This process would help determine the pixel areas that have the most standard deviation ...

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