View source for Software:ANIMAL (image processing)

'''ANIMAL''' (first implementation: 1988 - revised: 2004) is an interactive environment for [[Image processing|image processing]] that is oriented toward the rapid prototyping, testing, and modification of algorithms. To create ANIMAL (AN IMage ALgebra), [[XLISP]] of David Betz was extended with some new types: sockets, arrays, images, masks, and drawables.

The theoretical framework and the implementation of the working environment is described in the paper "ANIMAL: AN IMage ALgebra".<ref>R. Brunelli and C. M. Modena, "[https://brunelli.modena.ovh/roberto_brunelli/doc/BruMod_AF_1989.pdf ANIMAL: AN IMage ALgebra]", High Frequency, 1989, LVIII:3:255-259</ref>

In the theoretical framework of ANIMAL a [[Digital image|digital image]] is a boundless matrix with its ''history''. However, in the implementation it is bounded by a rectangular region in the discrete plane and the elements outside the region have a constant value. The size and position of the region in the plane (focus) is defined by the coordinates of the rectangle. In this way all the [[Pixel|pixel]]s, including those on the border, have the same number of neighbors (useful in local operators, such as [[Digital filter|digital filter]]s). Furthermore, pixelwise commutative operations remain commutative on image level, independently on focus (size and position of the rectangular regions). The ''history'' is a list which tracks the operations and parameters applied to the matrix. This mechanism is useful to document algorithms and generate new functions.

ANIMAL has been ported to [[R (programming language)|R]], a freely available language and environment for statistical computing and graphics. [https://tev-static.fbk.eu/TM/AnImAl.tgz The new implementation] is free and is used in a recent book<ref>R. Brunelli, ''Template Matching Techniques in Computer Vision: Theory and Practice'', Wiley, {{ISBN|978-0-470-51706-2}}, 2009 ''([http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470517069.html] TM book)''</ref>  to illustrate the use of template matching techniques in computer vision (see the [https://tev-static.fbk.eu/TM/html/tmCodeCompanionli2.html#x3-2000 preface] of the [https://tev-static.fbk.eu/TM/html book code companion]).

==References==
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{{DEFAULTSORT:Animal (Image Processing)}}
[[Category:Computer vision software]]
[[Category:Image processing software]]

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