A two-stage selection algorithm combining IG and BPSO for foreign fiber data.
IG can filter noisy features and the BPSO can select the highly discriminating features.
The experiments show that our method can find the subsets with small size and high accuracy.
The optimum subsets are significant for online detection based on machine vision of foreign fibers in cotton.