关键词: 图像分割, B超图像, 甲状腺肿瘤, 归一化割, 各向异性扩散

Abstract: In order to realize image registration and fusion of thyroid tumor B-type ultrasound image and radionuclide image and get features areas which registration of the characteristic class required, it is necessary to segment thyroid, the thyroid tumor and surrounding tissue. Some spot noises make the image poor quality in the process of formate ultrasonic images and the image is characterized with low contrast and intensity inhomogeneity. An improved normalized cut segmentation method is proposed. Anisotropic diffusion is introduced into the normalized cut, avoiding the problem of over-and incomplete segmentation, denoising and enhancing edge for thyroid tumor ultrasonic image by adjusting the model parameters, optimizing edge figure and weight matrix. The experimental results confirm the feasibility.

Key words: image segmentation, B-type ultrasound image, thyroid tumor, normalized cut, anisotropic diffusion