数据采集与处理2018，Vol.33Issue(3)：400-408,9.DOI:10.16337/j.1004-9037.2018.03.002
基于局部特征约束的TEM图像分割算法
Local Feature-Constraint Information Based TEM Image Segmentation Algorithm
摘要
Abstract
Nerve cells image segmentation is of great significance for neuroscience research ,but the com-plexity of the nerve cells submicroscopic structure and the quality problem of the missing and fuzzy of the boundary produced by transmission electron microscope(TEM) have making it being a problem in medical image processing .Based on the significant local clustering characteristics of nerve cell TEM images ,a lo-cal feature-constraint information based TEM image segmentation algorithm is proposed by using the su-perpixels technology .First ,superpixel structure is built based on the graph-based model .Then the local spatial information of superpixels based on MRF spatial neighborhood are extracted to solve the complex neighborhood information and space structure .Finally ,the segmentation results can be obtained by the MRF model optimization and superpixels merging .The research results show that the proposed algo-rithm is accurate and robust with better describtation of submicroscopic structure .关键词
医学图像分割/局部空间信息/超像素/电子显微图像Key words
medical image segmentation/local spatial information/superpixel/transmission electron mi-croscopy image分类
信息技术与安全科学引用本文复制引用
魏本征,尹义龙..基于局部特征约束的TEM图像分割算法[J].数据采集与处理,2018,33(3):400-408,9.基金项目
国家自然科学基金(U1201258 ,61572300)资助项目 （U1201258 ,61572300）
山东省自然科学基金(ZR2015FM010)资助项目 （ZR2015FM010）
山东高校科技计划(J15LN20)资助项目 （J15LN20）
山东省中医药科技发展计划(2015-026)资助项目. （2015-026）
