南京大学学报（自然科学版）Issue(1)：111-117,7.DOI:10.13232/j.cnki.jnju.2015.01.016
应用局部结构与方向张量的图像分割算法研究
The research of local structure and directional tensor in image segmentation algorithm
摘要
Abstract
Image segmentation is a basic problem in computer vision research.For the light shadow segmentation process of no texture obj ects in actual images,we usually assume that these obj ects are in segmentation with same nature.However,it will generate segmentation deviation basing on this assumption condition.In this paper,our method can be used for image intensity non-uniform smoothing through broadening same nature uniform assumption condition.In order to improve the effect of image segmentation,the proposed algorithm uses uniform distribution of obj ect intensity in the image and adopts a new smoothness calculation method.The Bayesian framework is applied in the process of image segmentation.We calculate the uniform distribution according to the local structure of image segmentation.Based on artificial and real images,the paper had been conducted comparative evaluation of Hessian matrix and orientation tensor segmentation.The experimental results show that our proposed algorithm significantly outperforms the global threshold and Multi-level logic Markov random field model.关键词
图像分割/Hessian矩阵/方向张量/极大似然估计/MRF模型Key words
image segmentation/Hessian matrices/directional tensor/maximum likelihood estimation/MRF model分类
信息技术与安全科学引用本文复制引用
于振洋,高尚兵,唐嵩涛..应用局部结构与方向张量的图像分割算法研究[J].南京大学学报（自然科学版）,2015,(1):111-117,7.基金项目
国家自然科学基金(61402192),江苏省“青蓝工程”,江苏省“六大人才高峰” （61402192）
