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Image analysis
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==Digital== Digital Image Analysis or Computer Image Analysis is when a computer or electrical device automatically studies an image to obtain useful information from it. Note that the device is often a computer but may also be an electrical circuit, a digital camera or a mobile phone. It involves the fields of [[computer vision|computer]] or [[machine vision]], and [[medical imaging]], and makes heavy use of [[pattern recognition]], [[digital geometry]], and [[signal processing]]. This field of [[computer science]] developed in the 1950s at academic institutions such as the [[Massachusetts Institute of Technology|MIT]] A.I. Lab, originally as a branch of [[artificial intelligence]] and [[robotics]]. It is the [[quantitative property|quantitative]] or [[Qualitative property|qualitative]] characterization of [[two-dimensional]] (2D) or [[Three-dimensional space|three-dimensional]] (3D) [[digital images]]. 2D images are, for example, to be analyzed in [[computer vision]], and 3D images in [[medical imaging]]. The field was established in the 1950sβ1970s, for example with pioneering contributions by [[Azriel Rosenfeld]], [[Herbert Freeman]], [[Jack E. Bresenham]], or [[King-Sun Fu]].
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