【正文】 gure 3(c) we can see that part of those teeth cannot showed in Figure 4(a) without enhancement and this could lead to the incorrect split lines such as the one of the middle tooth. And From Figure 4(b) and (c) we can see that we cannot get the proper contour information just applying the classical watershed algorithm because the touching teeth belong to one area not isolate areas with their adhesion.Figure 5 and figure 6 show another two examples used the proposed algorithm. From the results showed in these figures we can see that the of upper jaw or to the lower jaw are segmented precisely and accurately. But the lines we have got splitting each tooth still need to be improved. And this phenomenon like Figure 5(b) shows can be explained by the structure elements of b used to delete the adhesion between teeth. The erosion cannot avoid to the reduction of the teeth areas cannot be avoided by implementing the operation of erosion. IV. CONCLUSIONS AND FUTURE WORKFor the purpose of separate each tooth, this paper presents an algorithm of watershed transformation based on morphology and distance transform. According to the results of the experiments, this algorithm can improve the phenomenon of oversegmentation and split each tooth effectively. But the results of segmentation are not perfect and it takes time to adjust the parameters like the structure elements b .Our future work will concentrate on choosing an auto adaptive capability of the structural elements. And we also intend to apply the results of segmentation to more extensive and deeper areas like human identification.。 image segmentation。英文原文Watershed Algorithm Based on Morphology for Dental XRay Images SegmentationAbstract—A new watershed algorithm based on mathematical morphology, which can be applied to dental Xray images segmentation, is proposed in the paper. In order to separate each tooth and improve the serious problem of oversegmentation of traditional watershed algorithm, we apply the processing based on morphology to get the images enhanced before watershed algorithm. First, using the tophatbottomhat transformation to amplify the contrast of foreground and background and remove noises. And then erosion procedure is used to weaken the degree of adhesion between teeth. Holefilling can help to eliminate some unnecessary splitline which can cause the phenomenon of wrong segmentation. Finally we apply the watershed algorithm using distance transformation of the binary image to get the segmentation result. From the experiment results, we can see that this algorithm can separate teeth accurately and overe the oversegmentation efficiently pared with traditional method.Keywordswatershed algorithm。 dental Xray i