Evolutionary image processing: Difference between revisions

Revision as of 20:13, 3 January 2025

Revision as of 02:27, 4 January 2025

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# GP fitness function is flexible and can be adapted according to the problem to be solved.

The disadvantages of GP for image processing include:

# Computational cost for for evolution of GP based classifiers is very high.

# A large dataset is required for the training.

# Due to their stochastic nature, a solution is not guaranteed.

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{{Evolutionary computation}}

{{Digital image processing}}

[[Category:Applications of evolutionary algorithms]]

[[Category:Image processing]]