融合视觉模型和最大熵的阈值分割算法
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TP391

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Image Thresholding Segmentation Based on Human Vision Model and Maximum Entropy
Author:
Affiliation:

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对传统二维最大熵阈值分割算法关于二维直方图的区域划分中存在的缺点(即图像的部分目标点和背景点错误划分为边缘点或噪声点,而把部分边缘点和噪声点划分为目标点和背景点)以及搜索最佳阈值向量的时间复杂度较高的缺点,提出了采用视觉模型构造二维直方图,并提出了一种二维直方图的新的区域划分方法,同时还提出了基于视觉模型的二维最大熵阈值分割算法,提出的阈值分割算法降低了计算复杂度的同时还具有很好的分割性能。根据一些图像分割的定量评价标准,做了一系列实验,与几种典型的二维阈值分割算法相比,提出算法的分割效果更好。

    Abstract:

    The traditional two-dimensional image thresholding segmentation algorithms exist some shortcomings that are the area division of two-dimensional histogram (Part of the target points and background points is divided into edge points or noise points, while part of the edge points and noise points is divided into the target point and background points) and high time complexity of searching the best threshold vector, a new two-dimensional histogram is proposed by using human vision model, and a new region division method about two-dimensional histogram is proposed, and the same time image thresholding segmentation based on human vision model and maximum entropy is proposed, the proposed image thresholding segmentation algorithm reduces the time complexity and has good segmentation performance. According to some evaluation standards for image segmentation result, a series of experiments show the proposed algorithm has better segmentation effect compared with several typical two-dimensional threshold segmentation algorithms.

    参考文献
    相似文献
    引证文献
引用本文

邹小林,冯国灿. 融合视觉模型和最大熵的阈值分割算法[J]. 科学技术与工程, 2013, 13(6): .
zouxiaolin, FENG Guocan. Image Thresholding Segmentation Based on Human Vision Model and Maximum Entropy[J]. Science Technology and Engineering,2013,13(6).

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2012-10-05
  • 最后修改日期:2012-10-05
  • 录用日期:2012-10-29
  • 在线发布日期: 2013-01-15
  • 出版日期:
×
律回春渐,新元肇启|《科学技术与工程》编辑部恭祝新岁!
亟待确认版面费归属稿件,敬请作者关注