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The proposed anisotropic diffusion method described above was tested using a synthetic image of size 256 × 256 pixels.
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Not yet; we are a long way from producing artistic, creative and intellectual output associated with our right brain using a synthetic Mozart or a synthetic Picasso.
The performance of the proposed method is evaluated using a developed synthetic image dataset and both simulated and real brain magnetic resonance image (MRI) datasets.
To evaluate the results of target detection well, we use a synthetic hyperspectral images.
Figure 11 is a synthetic image built using 21 different visual gray levels by a common eye.
In order to test the antinoise capability of the proposed model, we used a synthetic noise vessel (SynthNoiseVessel_1) image with 110 × 110 pixels, about 28% Gaussian noise added, as shown in Figure 3(a).
Also, a synthetic image dataset is developed and used for numerical evaluation purpose.
A synthetic image analysis strategy is proposed for in-situ crystal size measurement and shape identification for monitoring crystallization processes, based on using a real-time imaging system.
(a) Synthetic image.
(a) Synthetic image, (b) and (c) real medical cells images.
For this evaluation, a real image was counted as a positive and a synthetic image as a negative.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com