Incremental feature computation and classification for image segmentation
Guillaume Bernard, John A. Lee, Michel Verleysen · 2012
Abstract. Image segmentation problems can be solved with classifica-tion algorithms. However, their use is limited to features derived from intensities of pixels or patches. Features such as contiguity of two regions cannot be considered without prior knowledge of one of the two class la-bels. Instead of stacking various classification algorithms, we describe an incremental classifier that works in a space where features are progressively evaluated. Experiments on artificial images demonstrate the capabilities of this incremental scheme. 1