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The
Image Processing theory allow us to manipulate images in order
to improve their quality, to extract information (statistical,
morphological, geometric) for human or machine interpretation,
to treat their size (compression) or to reconstruct them (noise,
interference, distortion).
The
idea is to acquire a digital image by video cameras or scanners,
after that processing that image using techniques for enhancing
contrast, removing noise etc. and finally displaying the result.
The
term image refers to a two-dimensional ligth-intensity function,
denoted by f(x,y),
where x and y are the axis, and the value or
amplitude of f gives the intensity of the image at that
point.
We
can use programming languages as MATLAB,
Maple, C/C++ to
manipulate matrices.
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