A localized thresholding method based on boundary detection

A localized thresholding method based on boundary detection is proposed. The performance of global thresholding is likely to degrade when the gray level of the background in an image fluctuates and non-background regions with relatively large area exists. The proposed approach, localized thresholding based on boundary (LOTBOB), estimates the regions which are likely to contain the interesting objects by presuming that the appearance of boundaries indicates the existence of objects with a high possibility. Thresholding is then limited in these regions to avoid global thresholding. Experiments on real-world images show that LOTBOB is effective with relatively small and clearly-edged objects.