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The implementation of this image transformation function is typically based on a Look-Up Table (LUT).
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Results from the implementation of this new image analysis method for cherry tree canopies showed a significant improvement in the estimation of LAI compared to ground truth data using allometric methods and previously available cover photography methods.
As an example of the implementation of this concept, we introduce an image encryption system.
The aim of this work is the achievement of a rapid prototyping process for the implementation of digital image processing applications on mixed and parallel architectures.
With such a structure based on reprogrammable devices, this system admits a high degree of versatility and allows the implementation of parallel image processing algorithms.
The implementation of Functional Image Registration (FIRE), an operating system (OS) and platform independent multimodal image registration software is reported.
To cite a few, in [9], the authors discuss the implementation of an image processing application using GPU.
Image registration is performed using a package based on the Insight Toolkit allowing the implementation of various image registration algorithms.
Supplementary information regarding the program structure and guidance for the implementation of new image operations are available on the project homepage.
Details about the implementation of structure image processing and ray-casting-based volume rendering can be found in our previously reported studies [ 19, 21, 25].
The implementation of a particle image velocimetry algorithm illustrates this adaptation.
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