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  • <p>[[Pixcavator image search]] searches for images based on similarity, a potential application o ...nly used in information retrieval. Below, we just replace “document” with “image”.</p>
    4 KB (669 words) - 03:34, 6 September 2010
  • This is an introduction into the mathematics of computer vision and digital image analysis: [[topology]] and [[geometry]]. (For a more advanced approach see [[image:Topology_graph.jpg|right|400px]]
    3 KB (436 words) - 15:05, 24 October 2015
  • ==Example of image analysis== [[Image:CellsMATLABoriginal.jpg|300px]] [[Image:CellsMATLAB.jpg|330px]][[Image:CellsMATLABoriginal_2000_60.jpg|300px]]
    4 KB (548 words) - 14:55, 9 October 2010
  • [[Image:Torus.JPG|thumb|right|300px|Betti Numbers: B<sub>0</sub> = 1 (parts), B<sub We will compute the spacial properties that are preserved under topological transformations, i.e. you can bend, stretch, or shrink but not tear or glue. We determine t
    9 KB (1,431 words) - 16:57, 20 February 2011
  • ...ed like this is rather difficult. It is obvious that simply looking at the image, one may determine how circular the object is, but getting a computer to lo [[image:ExcelFail.jpg]]
    31 KB (5,254 words) - 17:57, 21 July 2012
  • ...rnel of a linear operator. Find the image and the kernel for the following transformations of the plane: (a) rotation around the origin, (b) flip about the diagonal,
    2 KB (351 words) - 20:49, 30 April 2018
  • [[image:no cellphones.png|right]] ...tems of linear equations, matrices and determinants, vector spaces, linear transformations, eigenvalues, eigenvectors, and applications. PR: ACT Math 27 or MTH132
    4 KB (573 words) - 13:07, 7 April 2018
  • [[image:no cellphones.png|right]] ...tems of linear equations, matrices and determinants, vector spaces, linear transformations, eigenvalues, eigenvectors, and applications. PR: ACT Math 27 or MTH132
    3 KB (321 words) - 21:06, 19 February 2019

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