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Quick Operation Version 3.2 (Carl Zweiss) for imaging acquisition and Adobe Photoshop CS2 (Adobe System) for image processing was used.
With a team of 150 Google employees, it created a scoring system for image "relevance".
Contourlets provide a new representation system for image analysis [43].
Cellular neural networks proved to be a useful parallel computing system for image processing applications.
In [78], a more sophisticated system for image tampering detection is presented.
This paper proposes a new implementation method of low cost parallel processing system for image processing applications.
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Based on the joint Fresnel transform correlator, a new system for double images hiding is presented.
User tests with radiologists using a search system for images in the medical literature are presented.
The objectives of this comparison are to establish the syntax for defining a system of these characteristics and to show the principal components of an AR system for image-guided applications.
Most recently, this kind of bias has shown up in systems for image recognition through deep learning.
Despite several previous studies, little progress has been made in building successful neural systems for image segmentation in digital hardware.
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