Abstract An ultrasound image defect segmentation algorithm based on automatic seeded region growing was proposed. First, the pre-segmentation of the ultrasound B image was performed by the Otsu method. Next, the seed starting points were set automatically by seeking the absolute background area. Then, the defects were segmented from the background area by regional growth algorithms. Finally, the defect recognition was further improved by digital morphological noise reduction method. Experimental results shown that the defects were segmented effectively by the proposed algorithm and good defect boundary information has also been provided. The efficiency of processing ultrasonic B images is improved and noise of B-scan image is mostly suppressed effectively.
NI Hao,ZHENG Hui-feng,WANG Yue-bing, et al. Ultrasonic B Image Defect Segmentation Method Based on Automatic Seeded Region Growing[J]. Acta Metrologica Sinica, 2018, 39(6): 878-883.
2018, Vol. 39 
