CAJ | 학술논문

对于图像分割来说,常常需要结合尽可能多的先验信息来分割感兴趣组织.对基于统计先验形状的水平集图像分割方法进行了综述.该分割模型的特点是能量函数由两部分组成:首先是基于图像的梯度或区域灰度的数据项;第二项是先验形状项,对处理因遮挡、噪声和裂口而导致的信息缺失的图像具有鲁棒性.深入讨论了如何从感兴趣组织的训练集中构建一个压缩的形状表达--隐含形状模型;如何构建既包括使全局形状一致的隐含曲面约束,又保持了水平集捕捉局部形变的能力的基于先验形状的水平集图像分割模型;介绍了形状对齐和一致性等关键问题.最后指出了目前存在的问题和进一步的发展方向.
대우도상분할래설,상상수요결합진가능다적선험신식래분할감흥취조직.대기우통계선험형상적수평집도상분할방법진행료종술.해분할모형적특점시능량함수유량부분조성:수선시기우도상적제도혹구역회도적수거항;제이항시선험형상항,대처리인차당、조성화렬구이도치적신식결실적도상구유로봉성.심입토론료여하종감흥취조직적훈련집중구건일개압축적형상표체--은함형상모형;여하구건기포괄사전국형상일치적은함곡면약속,우보지료수평집포착국부형변적능력적기우선험형상적수평집도상분할모형;개소료형상대제화일치성등관건문제.최후지출료목전존재적문제화진일보적발전방향.
Image segmentation problem often demands the incorporation of as much prior information as possible to help the segmentation algorithms extract the tissue of interest.The model of image segmentation based on statistical shape prior level set was reviewed.The feature of mode is the energy function of the model composed by two terms.The first one is data term based on the image gradient or region gray intensity,the second one is the shape prior term which provides robustness against missing shape information due to cluttering,occlusion and gaps.How to construct the implicit shape model which aims to extract a compact representation for the structure of interest from a set of training examples,how to construct the evolve model to constrain an implicit surface to follow global shape consistence while preserving its ability to capture local deformation were discussed intensively.The key problems such as shape registration and the correspondence problem were introduced.Finally the open issues and possible future research directions were pointed.