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The static information of remapped images in the current frame is referred to determining the features of source images in the searching stage from either the profile or temporal IPM difference image.
Since the optimization of the gamma shape parameter and the covarion parameters takes time, during the tree searching stage, we re-optimize these parameters only when a tree with a higher likelihood than the previous best tree is found.
The Doppler errors also have a destructive effect in the signal acquisition (searching) stage.
At the gross searching stage, TSPSO uses the common fully informed particle swarm method for all dimensions.
After the first stage, it switches to the fine-grained searching stage, where PSO with inertia weight update scheme is used for each dimension.
For the application of modelling the arterial pulses, the advantage of using TSPSO is that, after the gross searching stage, the three Gaussian functions could be optimized through single dimension searching strategy, resulting in significantly shorter computation time.
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However, TSPSO has different searching strategies for the two stages (gross and fine-grained searching stages).
The third stage is extended search stage.
Two main search steps are involved in the motion search: (1) initial search stage; (2) refined search stage.
There are two stages in this new approach: the constructive stage and the tree search stage.
The penalty is applied in close vicinity of all minima found before the current search stage.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com