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  2. Image gradient - Wikipedia

    en.wikipedia.org/wiki/Image_gradient

    Two types of gradients, with blue arrows to indicate the direction of the gradient. Light areas indicate higher pixel values A blue and green color gradient. An image gradient is a directional change in the intensity or color in an image. The gradient of the image is one of the fundamental building blocks in image processing.

  3. Gradient-domain image processing - Wikipedia

    en.wikipedia.org/wiki/Gradient-domain_image...

    The gradient is obtained from an existing image and modified for image editing purposes. Various operators, such as finite difference or Sobel, can be used to find the gradient of a given image. This gradient can then be manipulated directly to produce several different effects when the resulting image is solved for.

  4. Morphological gradient - Wikipedia

    en.wikipedia.org/wiki/Morphological_Gradient

    and an external gradient is given by: G e ( f ) = f ⊕ b − f {\displaystyle G_{e}(f)=f\oplus b-f} . The internal and external gradients are "thinner" than the gradient, but the gradient peaks are located on the edges, whereas the internal and external ones are located at each side of the edges.

  5. Sobel operator - Wikipedia

    en.wikipedia.org/wiki/Sobel_operator

    Technically, it is a discrete differentiation operator, computing an approximation of the gradient of the image intensity function. At each point in the image, the result of the Sobel–Feldman operator is either the corresponding gradient vector or the norm of this vector. The Sobel–Feldman operator is based on convolving the image with a ...

  6. Perlin noise - Wikipedia

    en.wikipedia.org/wiki/Perlin_noise

    Two-dimensional slice through 3D Perlin noise at z = 0. Perlin noise is a type of gradient noise developed by Ken Perlin in 1983. It has many uses, including but not limited to: procedurally generating terrain, applying pseudo-random changes to a variable, and assisting in the creation of image textures.

  7. Prewitt operator - Wikipedia

    en.wikipedia.org/wiki/Prewitt_operator

    Mathematically, the gradient of a two-variable function (here the image intensity function) is at each image point a 2D vector with the components given by the derivatives in the horizontal and vertical directions. At each image point, the gradient vector points in the direction of largest possible intensity increase, and the length of the ...

  8. Texture filtering - Wikipedia

    en.wikipedia.org/wiki/Texture_filtering

    During the texture mapping process for any arbitrary 3D surface, a texture lookup takes place to find out where on the texture each pixel center falls. For texture-mapped polygonal surfaces composed of triangles typical of most surfaces in 3D games and movies, every pixel (or subordinate pixel sample) of that surface will be associated with some triangle(s) and a set of barycentric coordinates ...

  9. Structure tensor - Wikipedia

    en.wikipedia.org/wiki/Structure_tensor

    In mathematics, the structure tensor, also referred to as the second-moment matrix, is a matrix derived from the gradient of a function.It describes the distribution of the gradient in a specified neighborhood around a point and makes the information invariant to the observing coordinates.

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