This paper proposes new applications of watershed saliency techniques to address over-segmentation problems in medical image segmentation. It introduces a weighted watershed algorithm that uses a mosaic image derived from the watershed transform to suppress over-segmentation. Experimental results on dental x-ray images demonstrate how the weighted watershed algorithm is able to better segment objects by following boundaries between strongly differing regions in the mosaic image and removing irrelevant segmentation lines.