应用局部结构与方向张量的图像分割算法研究 于振洋1*，高尚兵1，唐嵩涛2

南京大学学报(自然科学版) ›› 2015, Vol. 51 ›› Issue (1): 111–117.

应用局部结构与方向张量的图像分割算法研究
于振洋1*，高尚兵1，唐嵩涛2

于振洋1*，高尚兵1，唐嵩涛2

出版日期:2015-01-04 发布日期:2015-01-04
作者简介:1. 淮阴工学院计算机工程学院,淮安223003;2. 淮安市公安局淮阴分局指挥中心淮安223300)
基金资助:
国家自然科学基金资助（61402192）江苏省“青蓝工程”资助，江苏省“六大人才高峰”资助106994961

The research of local structure and directional tensor in image segmentation algorithm

Yu Zhenyang1*, Gao Shangbing1, Tang Songtao2

Online:2015-01-04 Published:2015-01-04
About author:(1. Computer Engineering school of Huaiyin Institute of Techlonogy, Huai’an, 223003, China;
2. The Command Center of Huaiyin Branch of Huaian Public Security Bureau, Huai’an, 223300, China)

摘要/Abstract

摘要： 图像分割问题是计算机视觉领域研究的基础性问题。针对实际图像中无纹理对象的浅阴影分割过程，通常会假设这些对象为同性质分段状态，而基于这种假设条件的图像分割方法有可能会产生图像分割偏差。本文方法通过放宽同性质均匀假设条件，针对图像强度进行不均匀平滑处理。本文所提算法应用图像中对象强度的分布一致性，采用新型平滑度计算方法来提高图像分割效果。根据待分割图像局部结构来计算分布一致性，图像分割过程中则应用贝叶斯框架。同已有研究成果比较了Hessian矩阵和方向张量的分割效果，通过在人工图像和真实图像上的实验结果表明，本文所提算法相较全局阈值与多层次逻辑马尔科夫随机域模型能够得到更好的图像分割效果。

Abstract: Image segmentation is a basic problem in computer vision research. For the actual image without light shadow texture object segmentation process, usually assumed that the nature of these objects for the same sub-state. Based on this assumption it is possible to image segmentation method generates segmentation bias. In the paper, the method has relaxed with nature by assuming uniform conditions, uneven smoothing for the image intensity. Distribution of objects in an image consistency algorithm mentioned herein intensity, calculated using the new method to improve the smoothness of the image segmentation. According to the local structure of the image to be segmented to calculate the distribution of consistency, image segmentation process is applied Bayesian framework. Existing research has compared the Hessian matrix and tensor orientation segmentation. Through experiments on artificial and real images show that the proposed algorithm compared to the global threshold and multi-level logic Markov random field model can get better image segmentation.

于振洋1*，高尚兵1，唐嵩涛2
. 应用局部结构与方向张量的图像分割算法研究
于振洋1*，高尚兵1，唐嵩涛2
[J]. 南京大学学报(自然科学版), 2015, 51(1): 111–117.

Yu Zhenyang1*, Gao Shangbing1, Tang Songtao2. The research of local structure and directional tensor in image segmentation algorithm

[J]. Journal of Nanjing University(Natural Sciences), 2015, 51(1): 111–117.

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