In this paper, we propose a fully automatic segmentation algorithm of masses on breast ultrasound images by using region growing technique. First, a seed point is selected automatically from the mass region based on both textural features and spatial features. Then, from the selected seed point, a region growing algorithm based on neutrosophic logic is implemented. The whole algorithm needs no manual intervention at all and is completely automatic. Experiment results show that the proposed segmentation algorithm is efficient in both selecting seed point and segmenting region of interests (ROIs).
Shan et al. REF proposed a seed point selection method based on textural features and spatial features.
A completely automatic segmentation method for breast ultrasound images using region growing
Proceedings of the 11th Joint Conference on Information Sciences (JCIS)
Proceedings of the 11th Joint Conference on Information Sciences (JCIS)
Computer Science