An Improved Otsu Image Segmentation Algorithm Based on Fuzzy Judgement

ZHANG Jian-ming; LI Yu-peng

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An Improved Otsu Image Segmentation Algorithm Based on Fuzzy Judgement

更新时间：2026-09-04

- An Improved Otsu Image Segmentation Algorithm Based on Fuzzy Judgement
- Vol. 31, Issue 6, Pages: 149-151(2014)
- 作者机构：
  
  江苏大学机构计算机科学与通信工程学院,江苏,镇江,212013
- 作者简介：
- 基金信息：
- DOI：
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- Published：2014
- 稿件说明：
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张建明, 李雨朋. 基于模糊判决改进的Otsu图像分割算法[J]. 微电子学与计算机, 2014, 31(6): 149-151,157.

ZHANG Jian-ming, LI Yu-peng. An Improved Otsu Image Segmentation Algorithm Based on Fuzzy Judgement[J]. 2014, 31(6): 149-151.
张建明, 李雨朋. 基于模糊判决改进的Otsu图像分割算法[J]. 微电子学与计算机, 2014, 31(6): 149-151,157. DOI：

ZHANG Jian-ming, LI Yu-peng. An Improved Otsu Image Segmentation Algorithm Based on Fuzzy Judgement[J]. 2014, 31(6): 149-151. DOI：

摘要

在图像分割中，阈值的选取是十分重要的.提出了一种基于模糊判决的Otsu图像分割算法，通过对Otsu算法中阈值的模糊判决处理，采用重心法来求取阈值，使所求阈值更加接近实际最佳阈值，从而能更好地分割图像.实验结果表明，与当前的一维Otsu算法和二维Otsu算法相比，改进算法有着更好的图像分割效果.

Abstract

In image segmentation

threshold selection is crucial.For traditional Otsus algorithm exists threshold deviation cause poor image segmentation problem

a kind of fuzzy judgment Otsu image segmentation algorithm has been proposed. Though the process of Otsus threshold fuzzy judgment

by the gravity method for searching the threshold to get a result of segmenting image better. Experimental results show that the proposed algorithm can get better result compared with one-dimensional Otsus algorithm and two-dimensional Otsus algorithm.

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