CAJ | 학술논문

图像中存在的灰度不均匀现象与演化曲线被错误的目标边缘引导给图像的多相分割带来了很大困难。针对这一问题，利用对数变换将乘性偏移场转化成线性偏移场，通过核函数引入局部灰度信息建立了偏移场矫正模型。此外，运用水平集函数与图像梯度的方向信息重建了边缘指示函数，增强了演化曲线对正确目标边缘的识别能力。人工合成图像和自然图像的分割实验结果表明文中提出的模型能够取得令人满意的分割结果。
도상중존재적회도불균균현상여연화곡선피착오적목표변연인도급도상적다상분할대래료흔대곤난。침대저일문제，이용대수변환장승성편이장전화성선성편이장，통과핵함수인입국부회도신식건립료편이장교정모형。차외，운용수평집함수여도상제도적방향신식중건료변연지시함수，증강료연화곡선대정학목표변연적식별능력。인공합성도상화자연도상적분할실험결과표명문중제출적모형능구취득령인만의적분할결과。
Intensity inhomogeneity and the curve of level set evolution misguiding the edge of target cause consider-able difficulty in image segmentation. This paper proposes a new method in which a multiplicative bias field function is converted into its linear form with logarithmic transformation;the intensity information in local region is extracted to the bias field function by using kernel function; a new bias field correction model is built based on variational method. In addition, the edge indicator function is rebuilt by comprehensive utilization of the direction information of the level set function and image; this improves the ability of the evolving curve to recognize target boundaries. Experimenntal results for synthetic and real images and their analysis show preliminarily that the performances of our method are desirable.