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It helps in the specific steering towards the desired point for approaching the searched object.
We make use of a spatial representation of each piece of information, as a spatial fuzzy set representing a constraint to be satisfied by the searched object, thanks in particular to fuzzy mathematical morphology operations.
When using information retrieval systems, users expect to obtain a set of images somewhat connected with the searched object.
In each step, the acquired information is compared to the properties known for the searched object.
These inputs are constructed using the knowledge about the searched object.
Again the color feature biased by the predicted color of the searched object is measured.
Again, the searched object is marked red, the corresponding property nodes are marked yellow.
Again, the searched object is marked red, the corresponding properties are marked yellow.
Even though this measurement activates the color cluster of the searched object most, competing object hypotheses remain.
In the two previous examples, the color was always the most discriminating property for the searched object.
According to this prediction, four fixations are necessary to locate the searched object as can be seen in Fig. 17.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com