Object recognition by flexible template matching using genetic algorithms
We demonstrate the use of a Genetic Algorithm (GA) to match a flexible template model to image evidence. The advantage of the GA is that plausible interpretations can be found in a relatively small number of trials; it is also possible to generate multiple distinct interpretation hypotheses. The method has been applied to the interpretation of ultrasound images of the heart and its performance has been assessed in quantitative terms.
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