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Fig. 2 | EURASIP Journal on Image and Video Processing

Fig. 2

From: A novel multi-focus image fusion method for improving imaging systems by using cascade-forest model

Fig. 2

The cascade-forest structure. Suppose we have two classes that need to be predicted. Consider there are four different ensemble algorithms. Black and blue are random forest and completely random forest, respectively. Each level of the cascade forest is an ensemble of distinctive classification algorithms. Each algorithm will generate a prediction of the distribution of classes. The final prediction is obtained by layer-by-layer processing

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