关键词: 图像分割, LGDF模型, 有偏场校正, 灰度不均匀, 医学图像

Abstract: In order to implement segmentation and bias correction simultaneously for medical images with intensity inhomogeneity, an improved active contour model based on Local Gaussian Distribution Fitting（LGDF） energy is proposed in this paper. By analyzing the local properties of the bias field model, the multiplicative factor of bias field is induced into the local intensity means formation and thus it becomes a new variable of the energy functional. So the minimization of the energy functional by iteration not only accomplishes objective tissue segmentation but also makes an effective estimation to the bias field. Experiments on synthetic images and real medical images show the proposed method is superior to the state of the art on segmentation results, moreover, the corrected images using the bias field estimated by this method have better visual effect.

Key words: image segmentation, Local Gaussian Distribution Fitting（LGDF） model, bias correction, intensity inhomogeneity, medical image