数据采集与处理2018，Vol.33Issue(2)：259-269,11.DOI:10.16337/j.1004-9037.2018.02.008
一种新的局部分水岭模型在图像分割中的应用
Application of New Local Watershed Model in Image Segmentation
摘要
Abstract
In order to improve the ability of image segmentation to grasp significant areas,an algorithm based on grid local watershed method and fuzzy C-means (FCM) is proposed by combing super pixel thoughts and watershed algorithm.The algorithm first partition an image into non-uniform grids according to the variance.For each grid,watershed algorithm is applied with the best gradient threshold to reduce the loss of local information in global watershed.In this way,the significant basins of each grid are extracted.Through regional integration and mean normalization of each area,FCM clustering considering the size of each region is used to get the final segmentation image.Experimental results show its great robustness against noise.In addition,the algorithm can effectively eliminate the interference regions and segment the significant regions of images with a low time complexity.关键词
超像素/网格化/分水岭/区域融合/模糊C均值Key words
super pixel/grid/watershed/regional integration/fuzzy C-means分类
信息技术与安全科学引用本文复制引用
刘海涛,狄岚,梁久祯..一种新的局部分水岭模型在图像分割中的应用[J].数据采集与处理,2018,33(2):259-269,11.基金项目
江苏省六大人才高峰(DZXX-028)资助项目 （DZXX-028）
江苏省产学研(BY2014023-33)资助项目. （BY2014023-33）
